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ORCIDRisto Miikkulainen
Risto P. Miikkulainen
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- affiliation: University of Texas at Austin, USA
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2020 – today
- 2024
[j78]Risto Miikkulainen
:
Generative AI: An AI paradigm shift in the making? AI Mag. 45(1): 165-167 (2024)- [j77]Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen:
Domain-Independent Lifelong Problem Solving Through Distributed ALife Actors. Artif. Life 30(2): 259-276 (2024) - [j76]Jason Zhi Liang, Hormoz Shahrzad, Risto Miikkulainen:
Asynchronous evolution of deep neural network architectures. Appl. Soft Comput. 152: 111209 (2024) - [c213]Risto Miikkulainen:
Evolution of Neural Networks. GECCO Companion 2024: 928-945 - [c212]Jamieson Warner, Ashwin Devaraj, Risto Miikkulainen:
Using Context to Adapt to Sensor Drift. ICDL 2024: 1-7 - [c211]Wenxi Wang, Yang Hu, Mohit Tiwari, Sarfraz Khurshid, Kenneth L. McMillan, Risto Miikkulainen:
NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks. ICLR 2024 - [i56]Ashok Khanna, Olivier Francon, Risto Miikkulainen:
Optimizing the Design of an Artificial Pancreas to Improve Diabetes Management. CoRR abs/2402.07949 (2024) - [i55]Xin Qiu, Risto Miikkulainen:
Semantic Density: Uncertainty Quantification in Semantic Space for Large Language Models. CoRR abs/2405.13845 (2024) - [i54]Hormoz Shahrzad, Risto Miikkulainen:
GPU-Accelerated Rule Evaluation and Evolution. CoRR abs/2406.01821 (2024) - 2023
- [c210]Garrett Bingham, Risto Miikkulainen:
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks. AAAI 2023: 6823-6833 - [c209]Hormoz Shahrzad, Risto P. Miikkulainen:
Accelerating Evolution Through Gene Masking and Distributed Search. GECCO 2023: 972-980 - [c208]Risto Miikkulainen:
Evolution of Neural Networks. GECCO Companion 2023: 1008-1025 - [c207]Xin Qiu, Risto Miikkulainen:
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search. ICML 2023: 28422-28447 - [c206]Garrett Bingham, Risto Miikkulainen:
Efficient Activation Function Optimization through Surrogate Modeling. NeurIPS 2023 - [i53]Garrett Bingham, Risto Miikkulainen:
Efficient Activation Function Optimization through Surrogate Modeling. CoRR abs/2301.05785 (2023) - [i52]Hormoz Shahrzad, Risto Miikkulainen:
Accelerating Evolution Through Gene Masking and Distributed Search. CoRR abs/2302.06745 (2023) - [i51]Erkin Bahçeci, Riitta Katila, Risto Miikkulainen:
Evolving Strategies for Competitive Multi-Agent Search. CoRR abs/2306.10640 (2023) - [i50]Jason Zhi Liang, Hormoz Shahrzad, Risto Miikkulainen:
Asynchronous Evolution of Deep Neural Network Architectures. CoRR abs/2308.04102 (2023) - [i49]Risto Miikkulainen, Olivier Francon, Daniel Young, Elliot Meyerson, Babak Hodjat:
Discovering Effective Policies for Land-Use Planning. CoRR abs/2311.12304 (2023) - 2022
- [j75]Nora E. Aguirre-Celis, Risto Miikkulainen:
How the Brain Dynamically Constructs Sentence-Level Meanings From Word-Level Features. Frontiers Artif. Intell. 5: 733163 (2022) - [j74]Cameron Buckner, Risto Miikkulainen, Stephanie Forrest, Silvia Milano, James Zou, Carina Prunk, Christopher Irrgang, I. Glenn Cohen, Hao Su, Robin R. Murphy, Russell H. Taylor, Axel Krieger, Mirko Kovac, Jathan Sadowski, Vidushi Marda:
AI reflections in 2021. Nat. Mach. Intell. 4(1): 5-10 (2022) - [j73]Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [j72]Garrett Bingham, Risto Miikkulainen:
Discovering Parametric Activation Functions. Neural Networks 148: 48-65 (2022) - [c205]Xin Qiu, Risto Miikkulainen:
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model. AAAI 2022: 8017-8027 - [c204]Peggy Fidelman, Uli Grasemann, Claudia Peñaloza, Michael Scimeca, Yakeel T. Quiroz, Swathi Kiran, Risto Miikkulainen:
Constructing Individualized Computational Models for Dementia Patients. CogSci 2022 - [c203]Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone:
Effective mutation rate adaptation through group elite selection. GECCO 2022: 721-729 - [c202]Elliot Meyerson, Xin Qiu, Risto Miikkulainen:
Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings). GECCO 2022: 739-748 - [c201]Risto Miikkulainen:
Evolution of neural networks. GECCO Companion 2022: 1020-1037 - [c200]Hormoz Shahrzad, Babak Hodjat, Risto Miikkulainen:
Evolving explainable rule sets. GECCO Companion 2022: 1779-1784 - [i48]Elliot Meyerson, Xin Qiu, Risto Miikkulainen:
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings). CoRR abs/2202.09679 (2022) - [i47]Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen:
DIAS: A Domain-Independent Alife-Based Problem-Solving System. CoRR abs/2203.06855 (2022) - [i46]Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone:
Effective Mutation Rate Adaptation through Group Elite Selection. CoRR abs/2204.04817 (2022) - [i45]Hormoz Shahrzad, Babak Hodjat, Risto Miikkulainen:
Evolution of Transparent Explainable Rule-sets. CoRR abs/2204.10438 (2022) - [i44]Xin Qiu, Risto Miikkulainen:
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search. CoRR abs/2210.14016 (2022) - 2021
- [j71]Risto Miikkulainen, Stephanie Forrest:
A biological perspective on evolutionary computation. Nat. Mach. Intell. 3(1): 9-15 (2021) - [j70]Risto Miikkulainen:
Creative AI Through Evolutionary Computation: Principles and Examples. SN Comput. Sci. 2(3): 163 (2021) - [j69]Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak Hodjat:
From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic. IEEE Trans. Evol. Comput. 25(2): 386-401 (2021) - [c199]Cem Celal Tutum, Suhaib Abdulquddos, Risto Miikkulainen:
Generalization of Agent Behavior through Explicit Representation of Context. CoG 2021: 1-7 - [c198]Santiago Gonzalez, Risto Miikkulainen:
Optimizing loss functions through multi-variate taylor polynomial parameterization. GECCO 2021: 305-313 - [c197]Jason Zhi Liang, Santiago Gonzalez, Hormoz Shahrzad, Risto Miikkulainen:
Regularized evolutionary population-based training. GECCO 2021: 323-331 - [c196]Risto Miikkulainen:
Evolution of neural networks. GECCO Companion 2021: 426-442 - [c195]Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Matt Yan, Michael Ye, Jingyuan Yang, Damon Caiazza, Stephanie Manson Brown:
Evaluating medical aesthetics treatments through evolved age-estimation models. GECCO 2021: 1009-1017 - [c194]Elliot Meyerson, Risto Miikkulainen:
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings. ICLR 2021 - [c193]Elizabeth Liner, Risto Miikkulainen:
Improving Neural Network Learning Through Dual Variable Learning Rates. IJCNN 2021: 1-7 - [i43]Santiago Gonzalez, Mohak Kant, Risto Miikkulainen:
Evolving GAN Formulations for Higher Quality Image Synthesis. CoRR abs/2102.08578 (2021) - [i42]Garrett Bingham, Risto Miikkulainen:
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks. CoRR abs/2109.08958 (2021) - [i41]Wenxi Wang, Yang Hu, Mohit Tiwari, Sarfraz Khurshid, Kenneth L. McMillan, Risto Miikkulainen:
NeuroComb: Improving SAT Solving with Graph Neural Networks. CoRR abs/2110.14053 (2021) - 2020
- [j68]Risto Miikkulainen, Myles Brundage, Jonathan Epstein, Tyler Foster, Babak Hodjat, Neil Iscoe, Jingbo Jiang, Diego Legrand, Sam Nazari, Xin Qiu, Michael Scharff, Cory Schoolland, Robert Severn, Aaron Shagrin:
Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization. AI Mag. 41(1): 44-60 (2020) - [j67]Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Nick Cheney, Patryk Chrabaszcz, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Léni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Richard A. Watson, Westley Weimer, Jason Yosinski:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life 26(2): 274-306 (2020) - [c192]Santiago Gonzalez, Risto Miikkulainen:
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization. CEC 2020: 1-8 - [c191]Jingbo Jiang, Diego Legrand, Robert Severn, Risto Miikkulainen:
A Comparison of the Taguchi Method and Evolutionary optimization in Multivariate Testing. CEC 2020: 1-6 - [c190]Padmini Rajagopalan, Kay E. Holekamp, Risto Miikkulainen:
Evolution of Complex Coordinated Behavior. CEC 2020: 1-8 - [c189]Xiruo Wang, Risto Miikkulainen:
MDEA: Malware Detection with Evolutionary Adversarial Learning. CEC 2020: 1-8 - [c188]Garrett Bingham, William Macke, Risto Miikkulainen:
Evolutionary optimization of deep learning activation functions. GECCO 2020: 289-296 - [c187]Risto Miikkulainen:
Evolution of neural networks. GECCO Companion 2020: 495-511 - [c186]Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad:
Effective reinforcement learning through evolutionary surrogate-assisted prescription. GECCO 2020: 814-822 - [c185]Xin Qiu, Elliot Meyerson, Risto Miikkulainen:
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. ICLR 2020 - [c184]Cem Celal Tutum, Risto Miikkulainen:
Adapting to Unseen Environments through Explicit Representation of Context. ALIFE 2020: 581-588 - [p4]Aditya Rawal, Jason Zhi Liang, Risto Miikkulainen:
Discovering Gated Recurrent Neural Network Architectures. Deep Neural Evolution 2020: 233-251 - [i40]Santiago Gonzalez, Risto Miikkulainen:
Evolving Loss Functions with Multivariate Taylor Polynomial Parameterizations. CoRR abs/2002.00059 (2020) - [i39]Xiruo Wang, Risto Miikkulainen:
MDEA: Malware Detection with Evolutionary Adversarial Learning. CoRR abs/2002.03331 (2020) - [i38]Elizabeth Liner, Risto Miikkulainen:
Improving Neural Network Learning Through Dual Variable Learning Rates. CoRR abs/2002.03428 (2020) - [i37]Jason Zhi Liang, Santiago Gonzalez, Risto Miikkulainen:
Population-Based Training for Loss Function Optimization. CoRR abs/2002.04225 (2020) - [i36]Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad:
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription. CoRR abs/2002.05368 (2020) - [i35]Cem Celal Tutum, Risto Miikkulainen:
Adapting to Unseen Environments through Explicit Representation of Context. CoRR abs/2002.05640 (2020) - [i34]Garrett Bingham, William Macke, Risto Miikkulainen:
Evolutionary Optimization of Deep Learning Activation Functions. CoRR abs/2002.07224 (2020) - [i33]J. Warner, A. Devaraj, Risto Miikkulainen:
Using context to make gas classifiers robust to sensor drift. CoRR abs/2003.07292 (2020) - [i32]Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Elisa Canzani, Babak Hodjat:
From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic. CoRR abs/2005.13766 (2020) - [i31]Garrett Bingham, Risto Miikkulainen:
Discovering Parametric Activation Functions. CoRR abs/2006.03179 (2020) - [i30]Cem Celal Tutum, Suhaib Abdulquddos, Risto Miikkulainen:
Generalization of Agent Behavior through Explicit Representation of Context. CoRR abs/2006.11305 (2020) - [i29]Nora E. Aguirre-Celis, Risto Miikkulainen:
Characterizing the Effect of Sentence Context on Word Meanings: Mapping Brain to Behavior. CoRR abs/2007.13840 (2020) - [i28]Risto Miikkulainen:
Creative AI Through Evolutionary Computation: Principles and Examples. CoRR abs/2008.04212 (2020) - [i27]Santiago Gonzalez, Risto Miikkulainen:
Effective Regularization Through Loss-Function Metalearning. CoRR abs/2010.00788 (2020) - [i26]Xin Qiu, Risto Miikkulainen:
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model. CoRR abs/2010.02065 (2020) - [i25]Elliot Meyerson, Risto Miikkulainen:
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings. CoRR abs/2010.02354 (2020)
2010 – 2019
- 2019
- [j66]Kenneth O. Stanley, Jeff Clune, Joel Lehman, Risto Miikkulainen:
Designing neural networks through neuroevolution. Nat. Mach. Intell. 1(1): 24-35 (2019) - [j65]Pei-Chi Huang, Luis Sentis, Joel Lehman, Chien-Liang Fok, Aloysius K. Mok, Risto Miikkulainen:
Tradeoffs in Neuroevolutionary Learning-Based Real-Time Robotic Task Design in the Imprecise Computation Framework. ACM Trans. Cyber Phys. Syst. 3(2): 14:1-14:29 (2019) - [c183]Alexander Braylan, Risto Miikkulainen:
Discretization of Game Space by Environment Attributes. KEG@AAAI 2019: 76-80 - [c182]Xin Qiu, Risto Miikkulainen:
Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms. AAAI 2019: 9581-9588 - [c181]Nora E. Aguirre-Celis, Risto Miikkulainen:
Quantifying the Conceptual Combination Effect on Word Meanings. CogSci 2019: 1324-1330 - [c180]Hormoz Shahrzad, Babak Hodjat, Camille Dollé, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, Risto Miikkulainen:
Enhanced optimization with composite objectives and novelty pulsation. GECCO (Companion) 2019: 231-232 - [c179]Jason Zhi Liang, Elliot Meyerson, Babak Hodjat, Daniel Fink, Karl Mutch, Risto Miikkulainen:
Evolutionary neural AutoML for deep learning. GECCO 2019: 401-409 - [c178]Risto Miikkulainen:
Evolution of neural networks. GECCO (Companion) 2019: 694-709 - [c177]Cameron R. Wolfe, Cem Celal Tutum, Risto Miikkulainen:
Functional generative design of mechanisms with recurrent neural networks and novelty search. GECCO 2019: 1373-1380 - [c176]Kaitlin Maile, Manish Saggar, Risto Miikkulainen:
Implementing evolutionary optimization to model neural functional connectivity. GECCO (Companion) 2019: 1731-1733 - [c175]Hormoz Shahrzad, Babak Hodjat, Camille Dollé, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, Risto Miikkulainen:
Enhanced Optimization with Composite Objectives and Novelty Pulsation. GPTP 2019: 275-293 - [c174]Santiago Gonzalez, Joshua Landgraf, Risto Miikkulainen:
Faster Training by Selecting Samples Using Embeddings. IJCNN 2019: 1-7 - [c173]Padmini Rajagopalan, Kay E. Holekamp, Risto Miikkulainen:
Factors that Affect the Evolution of Complex Cooperative Behavior. ALIFE 2019: 333-340 - [c172]Elliot Meyerson, Risto Miikkulainen:
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. NeurIPS 2019: 7901-7912 - [c171]Guangli Dai, Pavan Kumar Paluri, Thomas Carmichael, Albert Mo Kim Cheng, Risto Miikkulainen:
Work-in-Progress: Leveraging the Selfless Driving Model to Reduce Vehicular Network Congestion. RTSS 2019: 548-551 - [r15]Jacob Schrum, Risto Miikkulainen:
Constructing Game Agents Through Simulated Evolution. Encyclopedia of Computer Graphics and Games 2019 - [i24]Risto Miikkulainen:
Creative AI Through Evolutionary Computation. CoRR abs/1901.03775 (2019) - [i23]Jason Zhi Liang, Elliot Meyerson, Babak Hodjat, Daniel Fink, Karl Mutch, Risto Miikkulainen:
Evolutionary Neural AutoML for Deep Learning. CoRR abs/1902.06827 (2019) - [i22]Cameron R. Wolfe, Cem Celal Tutum, Risto Miikkulainen:
Functional Generative Design of Mechanisms with Recurrent Neural Networks and Novelty Search. CoRR abs/1903.10103 (2019) - [i21]Santiago Gonzalez, Risto Miikkulainen:
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization. CoRR abs/1905.11528 (2019) - [i20]Risto Miikkulainen, Bret Greenstein, Babak Hodjat, Jerry Smith:
Better Future through AI: Avoiding Pitfalls and Guiding AI Towards its Full Potential. CoRR abs/1905.13178 (2019) - [i19]Elliot Meyerson, Risto Miikkulainen:
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. CoRR abs/1906.00097 (2019) - [i18]Xin Qiu, Elliot Meyerson, Risto Miikkulainen:
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. CoRR abs/1906.00588 (2019) - [i17]Hormoz Shahrzad, Babak Hodjat, Camille Dollé, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, Risto Miikkulainen:
Enhanced Optimization with Composite Objectives and Novelty Pulsation. CoRR abs/1906.04050 (2019) - 2018
- [c170]Xun Li, Risto Miikkulainen:
Dynamic Adaptation and Opponent Exploitation in Computer Poker. AAAI Workshops 2018: 302-309 - [c169]Risto Miikkulainen, Neil Iscoe, Aaron Shagrin, Ryan Rapp, Sam Nazari, Patrick McGrath, Cory Schoolland, Elyas Achkar, Myles Brundage, Jeremy Miller, Jonathan Epstein, Gurmeet Lamba:
Sentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization. AAAI 2018: 7696-7703 - [c168]Nora E. Aguirre-Celis, Risto Miikkulainen:
Combining fMRI Data and Neural Networks to Quantify Contextual Effects in the Brain. BI 2018: 129-140 - [c167]Xun Li, Risto Miikkulainen:
Opponent modeling and exploitation in poker using evolved recurrent neural networks. GECCO 2018: 189-196 - [c166]Jason Zhi Liang, Elliot Meyerson, Risto Miikkulainen:
Evolutionary architecture search for deep multitask networks. GECCO 2018: 466-473 - [c165]Risto Miikkulainen:
Evolution of neural networks. GECCO (Companion) 2018: 469-488 - [c164]Cem Celal Tutum, Supawit Chockchowwat, Etienne Vouga, Risto Miikkulainen:
Functional generative design: an evolutionary approach to 3D-printing. GECCO 2018: 1379-1386 - [c163]Elliot Meyerson, Risto Miikkulainen:
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering. ICLR (Poster) 2018 - [c162]Elliot Meyerson, Risto Miikkulainen:
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing-and Back. ICML 2018: 3508-3517 - [c161]Hormoz Shahrzad, Daniel Fink, Risto Miikkulainen:
Enhanced Optimization with Composite Objectives and Novelty Selection. ALIFE 2018: 616-622 - [i16]Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Leni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard A. Watson, Jason Yosinski:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR abs/1803.03453 (2018) - [i15]Xin Qiu, Risto Miikkulainen:
Enhancing Evolutionary Optimization in Uncertain Environments by Allocating Evaluations via Multi-armed Bandit Algorithms. CoRR abs/1803.03737 (2018) - [i14]Hormoz Shahrzad, Daniel Fink, Risto Miikkulainen:
Enhanced Optimization with Composite Objectives and Novelty Selection. CoRR abs/1803.03744 (2018) - [i13]Jason Zhi Liang, Elliot Meyerson, Risto Miikkulainen:
Evolutionary Architecture Search For Deep Multitask Networks. CoRR abs/1803.03745 (2018) - [i12]Elliot Meyerson, Risto Miikkulainen:
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing - and Back. CoRR abs/1803.04062 (2018) - [i11]Aditya Rawal, Risto Miikkulainen:
From Nodes to Networks: Evolving Recurrent Neural Networks. CoRR abs/1803.04439 (2018) - [i10]Cem Celal Tutum, Supawit Chockchowwat, Etienne Vouga, Risto Miikkulainen:
Functional Generative Design: An Evolutionary Approach to 3D-Printing. CoRR abs/1804.07284 (2018) - [i9]Jingbo Jiang, Diego Legrand, Robert Severn, Risto Miikkulainen:
A Comparison of the Taguchi Method and Evolutionary Optimization in Multivariate Testing. CoRR abs/1808.08347 (2018) - [i8]Reza Mahjourian, Navdeep Jaitly, Nevena Lazic, Sergey Levine, Risto Miikkulainen:
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play. CoRR abs/1811.12927 (2018) - 2017
- [j64]Alan J. Lockett, Risto Miikkulainen:
A Probabilistic Reformulation of No Free Lunch: Continuous Lunches Are Not Free. Evol. Comput. 25(3): 503-528 (2017) - [c160]Xun Li, Risto Miikkulainen:
Evolving Adaptive Poker Players for Effective Opponent Exploitation. AAAI Workshops 2017 - [c159]Nora E. Aguirre-Celis, Manuel Valenzuela-Rendón, Risto Miikkulainen:
From Words to Sentences & Back: Characterizing Context-dependent Meaning Representations in the Brain. CogSci 2017 - [c158]Elliot Meyerson, Risto Miikkulainen:
Discovering evolutionary stepping stones through behavior domination. GECCO 2017: 139-146 - [c157]Risto Miikkulainen:
Evolution of neural networks. GECCO (Companion) 2017: 450-470 - [c156]Risto Miikkulainen, Neil Iscoe, Aaron Shagrin, Ron Cordell, Sam Nazari, Cory Schoolland, Myles Brundage, Jonathan Epstein, Randy Dean, Gurmeet Lamba:
Conversion rate optimization through evolutionary computation. GECCO 2017: 1193-1199 - [c155]Eric A. Yu, Jin Yeom, Cem Celal Tutum, Etienne Vouga, Risto Miikkulainen:
Evolutionary decomposition for 3D printing. GECCO 2017: 1272-1279 - [c154]Risto Miikkulainen, Hormoz Shahrzad, Nigel Duffy, Philip M. Long:
How to select a winner in evolutionary optimization? SSCI 2017: 1-6 - [r14]Risto Miikkulainen:
Hopfield Network. Encyclopedia of Machine Learning and Data Mining 2017: 625 - [r13]Risto Miikkulainen:
Neuroevolution. Encyclopedia of Machine Learning and Data Mining 2017: 899-904 - [r12]Risto Miikkulainen:
Neuron. Encyclopedia of Machine Learning and Data Mining 2017: 904-905 - [r11]Risto Miikkulainen:
Reservoir Computing. Encyclopedia of Machine Learning and Data Mining 2017: 1103-1104 - [r10]Risto Miikkulainen:
Simple Recurrent Network. Encyclopedia of Machine Learning and Data Mining 2017: 1166 - [r9]Risto Miikkulainen:
Topology of a Neural Network. Encyclopedia of Machine Learning and Data Mining 2017: 1281 - [r8]Risto Miikkulainen:
Weight. Encyclopedia of Machine Learning and Data Mining 2017: 1329 - [i7]Risto Miikkulainen, Jason Zhi Liang, Elliot Meyerson, Aditya Rawal, Daniel Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, Babak Hodjat:
Evolving Deep Neural Networks. CoRR abs/1703.00548 (2017) - [i6]Risto Miikkulainen, Neil Iscoe, Aaron Shagrin, Ron Cordell, Sam Nazari, Cory Schoolland, Myles Brundage, Jonathan Epstein, Randy Dean, Gurmeet Lamba:
Conversion Rate Optimization through Evolutionary Computation. CoRR abs/1703.00556 (2017) - [i5]Elliot Meyerson, Risto Miikkulainen:
Discovering Evolutionary Stepping Stones through Behavior Domination. CoRR abs/1704.05554 (2017) - [i4]Elliot Meyerson, Risto Miikkulainen:
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering. CoRR abs/1711.00108 (2017) - 2016
- [j63]Jacob Schrum, Risto Miikkulainen:
Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution. Evol. Comput. 24(3): 459-490 (2016) - [j62]Jacob Schrum, Risto Miikkulainen:
Discovering Multimodal Behavior in Ms. Pac-Man Through Evolution of Modular Neural Networks. IEEE Trans. Comput. Intell. AI Games 8(1): 67-81 (2016) - [j61]Jochen Renz, Risto Miikkulainen, Nathan R. Sturtevant, Mark H. M. Winands:
Guest Editorial: Physics-Based Simulation Games. IEEE Trans. Comput. Intell. AI Games 8(2): 101-103 (2016) - [j60]Matthew Alden, Risto Miikkulainen:
MARLEDA: Effective distribution estimation through Markov random fields. Theor. Comput. Sci. 633: 4-18 (2016) - [c153]Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen:
Reuse of Neural Modules for General Video Game Playing. AAAI 2016: 353-359 - [c152]Alexander Eric Braylan, Risto Miikkulainen:
Object-Model Transfer in the General Video Game Domain. AIIDE 2016: 136-142 - [c151]Risto Miikkulainen, Hormoz Shahrzad, Babak Hodjat:
Distributed Age-Layered Novelty Search. ALIFE 2016: 131-138 - [c150]Risto Miikkulainen, Xun Li:
Evolving Artificial Language through Evolutionary Reinforcement Learning. ALIFE 2016: 484-491 - [c149]Cem Celal Tutum, Shaayaan Sayed, Risto Miikkulainen:
Surrogate-based evolutionary optimization for friction stir welding. CEC 2016: 387-394 - [c148]Elliot Meyerson, Joel Lehman, Risto Miikkulainen:
Learning Behavior Characterizations for Novelty Search. GECCO 2016: 149-156 - [c147]Risto Miikkulainen:
Evolving Neural Networks. GECCO (Companion) 2016: 229-253 - [c146]Aditya Rawal, Risto Miikkulainen:
Evolving Deep LSTM-based Memory Networks using an Information Maximization Objective. GECCO 2016: 501-508 - [c145]Hormoz Shahrzad, Babak Hodjat, Risto Miikkulainen:
Estimating the Advantage of Age-Layering in Evolutionary Algorithms. GECCO 2016: 693-699 - [c144]Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen, Lawrence Murray, Chris C. Holmes:
PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification. GPTP 2016: 139-148 - [c143]Risto Miikkulainen:
Using SOMs to Gain Insight into Human Language Processing. WSOM 2016: 191 - [e2]Tarek Richard Besold, Artur S. d'Avila Garcez, Gary F. Marcus, Risto Miikkulainen:
Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), Montreal, Canada, December 11-12, 2015. CEUR Workshop Proceedings 1583, CEUR-WS.org 2016 [contents] - 2015
- [j59]Manish Saggar, Anthony P. Zanesco, Brandon G. King, David A. Bridwell, Katherine A. MacLean, Stephen R. Aichele, Tonya L. Jacobs, B. Alan Wallace, Clifford D. Saron, Risto Miikkulainen:
Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training. NeuroImage 114: 88-104 (2015) - [c142]Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen:
Frame Skip Is a Powerful Parameter for Learning to Play Atari. AAAI Workshop: Learning for General Competency in Video Games 2015 - [c141]Artur S. d'Avila Garcez, Tarek R. Besold, Luc De Raedt, Peter Földiák, Pascal Hitzler, Thomas Icard, Kai-Uwe Kühnberger, Luís C. Lamb, Risto Miikkulainen, Daniel L. Silver:
Neural-Symbolic Learning and Reasoning: Contributions and Challenges. AAAI Spring Symposia 2015 - [c140]Risto Miikkulainen:
Tutorial III: Evolving neural networks. CIG 2015: 22 - [c139]Igor V. Karpov, Leif M. Johnson, Risto Miikkulainen:
Evaluating team behaviors constructed with human-guided machine learning. CIG 2015: 292-298 - [c138]Risto Miikkulainen:
Evolving Neural Networks. GECCO (Companion) 2015: 137-161 - [c137]Jacob Schrum, Risto Miikkulainen:
Solving Interleaved and Blended Sequential Decision-Making Problems through Modular Neuroevolution. GECCO 2015: 345-352 - [c136]Jason Zhi Liang, Risto Miikkulainen:
Evolutionary Bilevel Optimization for Complex Control Tasks. GECCO 2015: 871-878 - [c135]Joel Lehman, Risto Miikkulainen:
Enhancing Divergent Search through Extinction Events. GECCO 2015: 951-958 - [c134]Erkin Bahçeci, Riitta Katila, Risto Miikkulainen:
Evolving Strategies for Social Innovation Games. GECCO 2015: 1135-1142 - [c133]Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen:
On the Cross-Domain Reusability of Neural Modules for General Video Game Playing. CGW/GIGA@IJCAI 2015: 115-129 - [c132]Pei-Chi Huang, Luis Sentis, Joel Lehman, Chien-Liang Fok, Aloysius K. Mok, Risto Miikkulainen:
Tradeoffs in Real-Time Robotic Task Design with Neuroevolution Learning for Imprecise Computation. RTSS 2015: 206-215 - [i3]Dan Lessin, Don Fussell, Risto Miikkulainen, Sebastian Risi:
Increasing Behavioral Complexity for Evolved Virtual Creatures with the ESP Method. CoRR abs/1510.07957 (2015) - [i2]Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen:
Reuse of Neural Modules for General Video Game Playing. CoRR abs/1512.01537 (2015) - 2014
- [j58]Austin Waters, Risto Miikkulainen:
GRADE: Machine Learning Support for Graduate Admissions. AI Mag. 35(1): 64-75 (2014) - [j57]Alan J. Lockett, Risto Miikkulainen:
Evolutionary annealing: global optimization in measure spaces. J. Glob. Optim. 58(1): 75-108 (2014) - [j56]Matthew J. Hausknecht, Joel Lehman, Risto Miikkulainen, Peter Stone:
A Neuroevolution Approach to General Atari Game Playing. IEEE Trans. Comput. Intell. AI Games 6(4): 355-366 (2014) - [c131]Aditya Rawal, Janette Boughman, Risto Miikkulainen:
Evolution of Communication in Mate Selection. ALIFE 2014: 16-22 - [c130]Padmini Rajagopalan, Kay E. Holekamp, Risto Miikkulainen:
The Evolution of General Intelligence. ALIFE 2014: 63-70 - [c129]Dan Lessin, Don Fussell, Risto Miikkulainen:
Adopting Morphology to Multiple Tasks in Evolved Virtual Creatures. ALIFE 2014: 247-254 - [c128]Xun Li, Risto Miikkulainen:
Evolving Multimodal Behavior Through Subtask and Switch Neural Networks. ALIFE 2014: 439-446 - [c127]Pei-Chi Huang, Joel Lehman, Aloysius K. Mok, Risto Miikkulainen, Luis Sentis:
Grasping novel objects with a dexterous robotic hand through neuroevolution. CICA 2014: 125-132 - [c126]Padmini Rajagopalan, Aditya Rawal, Kay E. Holekamp, Risto Miikkulainen:
General intelligence through prolonged evolution of densely connected neural networks. GECCO (Companion) 2014: 35-36 - [c125]Joel Lehman, Risto Miikkulainen:
Overcoming deception in evolution of cognitive behaviors. GECCO 2014: 185-192 - [c124]Jacob Schrum, Risto Miikkulainen:
Evolving multimodal behavior with modular neural networks in Ms. Pac-Man. GECCO 2014: 325-332 - [c123]Risto Miikkulainen:
Evolving neural networks. GECCO (Companion) 2014: 487-512 - [c122]Dan Lessin, Don Fussell, Risto Miikkulainen:
Trading control intelligence for physical intelligence: muscle drives in evolved virtual creatures. GECCO 2014: 705-712 - 2013
- [j55]Vinod K. Valsalam, Risto Miikkulainen:
Using symmetry and evolutionary search to minimize sorting networks. J. Mach. Learn. Res. 14(1): 303-331 (2013) - [j54]Joel Lehman, Risto Miikkulainen:
Neuroevolution. Scholarpedia 8(6): 30977 (2013) - [c121]Julian Bishop, Risto Miikkulainen:
Evolutionary reature evaluation for online Reinforcement Learning. CIG 2013: 1-8 - [c120]Alan J. Lockett, Risto Miikkulainen:
A measure-theoretic analysis of stochastic optimization. FOGA 2013: 105-118 - [c119]Joel Lehman, Kenneth O. Stanley, Risto Miikkulainen:
Effective diversity maintenance in deceptive domains. GECCO 2013: 215-222 - [c118]Dan Lessin, Don Fussell, Risto Miikkulainen:
Open-ended behavioral complexity for evolved virtual creatures. GECCO 2013: 335-342 - [c117]Risto Miikkulainen:
Evolving neural networks. GECCO (Companion) 2013: 357-376 - [c116]Alan J. Lockett, Risto Miikkulainen:
Neuroannealing: martingale optimization for neural networks. GECCO 2013: 711-718 - [c115]Austin Waters, Risto Miikkulainen:
GRADE: Machine Learning Support for Graduate Admissions. IAAI 2013: 1479-1486 - [c114]Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Quan Leng, Xiuming Zhu, Luis Sentis, Kwan-Suk Kim, Risto Miikkulainen:
Architecture of a cyberphysical avatar. ICCPS 2013: 189-198 - [c113]Zihao Zhou, Mayank Kejriwal, Risto Miikkulainen:
Extended scaled neural predictor for improved branch prediction. IJCNN 2013: 1-7 - [c112]Joel Lehman, Risto Miikkulainen:
Boosting Interactive Evolution Using Human Computation Markets. TPNC 2013: 1-18 - [p3]John Levine, Clare Bates Congdon, Marc Ebner, Graham Kendall, Simon M. Lucas, Risto Miikkulainen, Tom Schaul, Tommy Thompson:
General Video Game Playing. Artificial and Computational Intelligence in Games 2013: 77-83 - 2012
- [j53]Vinod K. Valsalam, Jonathan D. Hiller, Robert MacCurdy, Hod Lipson, Risto Miikkulainen:
Constructing controllers for physical multilegged robots using the ENSO neuroevolution approach. Evol. Intell. 5(1): 45-56 (2012) - [j52]Jacob Schrum, Risto Miikkulainen:
Evolving Multimodal Networks for Multitask Games. IEEE Trans. Comput. Intell. AI Games 4(2): 94-111 (2012) - [j51]Nate Kohl, Risto Miikkulainen:
An Integrated Neuroevolutionary Approach to Reactive Control and High-Level Strategy. IEEE Trans. Evol. Comput. 16(4): 472-488 (2012) - [c111]Ashish Jain, Anand Subramoney, Risto Miikkulainen:
Task decomposition with neuroevolution in extended predator-prey domain. ALIFE 2012 - [c110]Aditya Rawal, Padmini Rajagopalan, Risto Miikkulainen, Kay E. Holekamp:
Evolution of a Communication Code in Cooperative Tasks. ALIFE 2012 - [c109]Matthew J. Hausknecht, Piyush Khandelwal, Risto Miikkulainen, Peter Stone:
HyperNEAT-GGP: a hyperNEAT-based atari general game player. GECCO 2012: 217-224 - [c108]Wesley Tansey, Eliana Feasley, Risto Miikkulainen:
Accelerating evolution via egalitarian social learning. GECCO 2012: 919-926 - [c107]Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Xiuming Zhu, Luis Sentis, Kwan-Suk Kim, Risto Miikkulainen, Jacob Menashe:
Architecture of a cyberphysical avatar. REACTION 2012 - [c106]Risto Miikkulainen, Eliana Feasley, Leif M. Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, Wesley Tansey:
Multiagent Learning through Neuroevolution. WCCI 2012: 24-46 - [p2]Jacob Schrum, Igor V. Karpov, Risto Miikkulainen:
Human-Like Combat Behaviour via Multiobjective Neuroevolution. Believable Bots 2012: 119-150 - [p1]Igor V. Karpov, Jacob Schrum, Risto Miikkulainen:
Believable Bot Navigation via Playback of Human Traces. Believable Bots 2012: 151-170 - 2011
- [j50]Vinod K. Valsalam, Risto Miikkulainen:
Evolving Symmetry for Modular System Design. IEEE Trans. Evol. Comput. 15(3): 368-386 (2011) - [c105]Adam Dziuk, Risto Miikkulainen:
Creating intelligent agents through shaping of coevolution. IEEE Congress on Evolutionary Computation 2011: 1077-1083 - [c104]Alan J. Lockett, Risto Miikkulainen:
Measure-theoretic evolutionary annealing. IEEE Congress on Evolutionary Computation 2011: 2139-2146 - [c103]Jacob Schrum, Risto Miikkulainen:
Evolving multimodal networks for multitask games. CIG 2011: 102-109 - [c102]Padmini Rajagopalan, Aditya Rawal, Risto Miikkulainen, Marc A. Wiseman, Kay E. Holekamp:
The role of reward structure, coordination mechanism and net return in the evolution of cooperation. CIG 2011: 258-265 - [c101]Jacob Schrum, Igor Karpov, Risto Miikkulainen:
UT2: Human-like behavior via neuroevolution of combat behavior and replay of human traces. CIG 2011: 329-336 - [c100]Uli Grasemann, Ralph Hoffman, Risto Miikkulainen:
Modeling Acute and Compensated Language Disturbance in Schizophrenia. CogSci 2011 - [c99]Igor Karpov, Vinod K. Valsalam, Risto Miikkulainen:
Human-assisted neuroevolution through shaping, advice and examples. GECCO 2011: 371-378 - [c98]Risto Miikkulainen:
Evolving neural networks. GECCO (Companion) 2011: 1011-1028 - [c97]Alan J. Lockett, Risto Miikkulainen:
Real-space evolutionary annealing. GECCO 2011: 1179-1186 - [c96]Jeremy Stober, Risto Miikkulainen, Benjamin Kuipers:
Learning geometry from sensorimotor experience. ICDL-EPIROB 2011: 1-6 - [c95]Bryan Silverthorn, Risto Miikkulainen:
Learning Polarity from Structure in SAT. SAT 2011: 377-378 - [c94]Uli Grasemann, Chaleece Sandberg, Swathi Kiran, Risto Miikkulainen:
Impairment and Rehabilitation in Bilingual Aphasia: A SOM-Based Model. WSOM 2011: 207-217 - [i1]Risto Miikkulainen, Kenneth O. Stanley:
Competitive Coevolution through Evolutionary Complexification. CoRR abs/1107.0037 (2011) - 2010
- [c93]Bryan Silverthorn, Risto Miikkulainen:
Latent Class Models for Algorithm Portfolio Methods. AAAI 2010: 167-172 - [c92]Aditya Rawal, Padmini Rajagopalan, Risto Miikkulainen:
Constructing competitive and cooperative agent behavior using coevolution. CIG 2010: 107-114 - [c91]Jacob Schrum, Risto Miikkulainen:
Evolving agent behavior in multiobjective domains using fitness-based shaping. GECCO 2010: 439-446 - [c90]Padmini Rajagopalan, Aditya Rawal, Risto Miikkulainen:
Emergence of competitive and cooperative behavior using coevolution. GECCO 2010: 1073-1074 - [c89]Risto Miikkulainen:
Evolving neural networks. GECCO (Companion) 2010: 2441-2460 - [r7]Risto Miikkulainen:
Hopfield Network. Encyclopedia of Machine Learning 2010: 507 - [r6]Risto Miikkulainen:
Neuroevolution. Encyclopedia of Machine Learning 2010: 716-720 - [r5]Risto Miikkulainen:
Neuron. Encyclopedia of Machine Learning 2010: 720-721 - [r4]Risto Miikkulainen:
Reservoir Computing. Encyclopedia of Machine Learning 2010: 863 - [r3]Risto Miikkulainen:
Simple Recurrent Network. Encyclopedia of Machine Learning 2010: 906 - [r2]Risto Miikkulainen:
Topology of a Neural Network. Encyclopedia of Machine Learning 2010: 988-989 - [r1]Risto Miikkulainen:
Weight. Encyclopedia of Machine Learning 2010: 1027
2000 – 2009
- 2009
- [j49]Yiu-Fai Sit, Risto Miikkulainen:
Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing. Neural Comput. 21(3): 762-785 (2009) - [j48]Nate Kohl, Risto Miikkulainen:
Evolving neural networks for strategic decision-making problems. Neural Networks 22(3): 326-337 (2009) - [j47]Thomas D'Silva, Risto Miikkulainen:
Learning Dynamic Obstacle Avoidance for a Robot Arm Using Neuroevolution. Neural Process. Lett. 30(1): 59-69 (2009) - [j46]Chern Han Yong, Risto Miikkulainen:
Coevolution of Role-Based Cooperation in Multiagent Systems. IEEE Trans. Auton. Ment. Dev. 1(3): 170-186 (2009) - [c88]Jacob Schrum, Risto Miikkulainen:
Evolving multi-modal behavior in NPCs. CIG 2009: 325-332 - [c87]Vinod K. Valsalam, Risto Miikkulainen:
Evolving symmetric and modular neural networks for distributed control. GECCO 2009: 731-738 - [c86]Risto Miikkulainen, Kenneth O. Stanley:
Evolving neural networks. GECCO (Companion) 2009: 2977-3014 - [c85]Marshall R. Mayberry, Risto Miikkulainen:
Representing Semantic Graphs in a Self-Organizing Map. WSOM 2009: 172-181 - [c84]Risto Miikkulainen, Swathi Kiran:
Modeling the Bilingual Lexicon of an Individual Subject. WSOM 2009: 191-199 - [e1]José Carlos Príncipe, Risto Miikkulainen:
Advances in Self-Organizing Maps, 7th International Workshop, WSOM 2009, St. Augustine, FL, USA, June 8-10, 2009. Proceedings. Lecture Notes in Computer Science 5629, Springer 2009, ISBN 978-3-642-02396-5 [contents] - 2008
- [j45]Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen:
Accelerated Neural Evolution through Cooperatively Coevolved Synapses. J. Mach. Learn. Res. 9: 937-965 (2008) - [c83]Igor Karpov, John Sheblak, Risto Miikkulainen:
OpenNERO: A Game Platform for AI Research and Education. AIIDE 2008 - [c82]Jacob Schrum, Risto Miikkulainen:
Constructing Complex NPC Behavior via Multi-Objective Neuroevolution. AIIDE 2008 - [c81]Alan J. Lockett, Risto Miikkulainen:
Evolving opponent models for Texas Hold 'Em. CIG 2008: 31-38 - [c80]Erkin Bahçeci, Risto Miikkulainen:
Transfer of evolved pattern-based heuristics in games. CIG 2008: 220-227 - [c79]Vinod K. Valsalam, Risto Miikkulainen:
Modular neuroevolution for multilegged locomotion. GECCO 2008: 265-272 - [c78]Nate Kohl, Risto Miikkulainen:
Evolving neural networks for fractured domains. GECCO 2008: 1405-1412 - [c77]Risto Miikkulainen, Kenneth O. Stanley:
Evolving neural networks. GECCO (Companion) 2008: 2829-2848 - [c76]Joseph Reisinger, Peter Stone, Risto Miikkulainen:
Online kernel selection for Bayesian reinforcement learning. ICML 2008: 816-823 - 2007
- [j44]Yaron Silberman, Shlomo Bentin, Risto Miikkulainen:
Semantic Boost on Episodic Associations: An Empirically-Based Computational Model. Cogn. Sci. 31(4): 645-671 (2007) - [j43]Yiu-Fai Sit, Risto Miikkulainen:
A computational model of the signals in optical imaging with voltage-sensitive dyes. Neurocomputing 70(10-12): 1853-1857 (2007) - [j42]Vinod K. Valsalam, James A. Bednar, Risto Miikkulainen:
Developing Complex Systems Using Evolved Pattern Generators. IEEE Trans. Evol. Comput. 11(2): 181-198 (2007) - [c75]Bobby D. Bryant, Risto Miikkulainen:
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution. AAAI 2007: 801-808 - [c74]Joseph Reisinger, Erkin Bahçeci, Igor Karpov, Risto Miikkulainen:
Coevolving Strategies for General Game Playing. CIG 2007: 320-327 - [c73]Joseph Reisinger, Risto Miikkulainen:
Acquiring evolvability through adaptive representations. GECCO 2007: 1045-1052 - [c72]Alan J. Lockett, Charles L. Chen, Risto Miikkulainen:
Evolving explicit opponent models in game playing. GECCO 2007: 2106-2113 - [c71]Risto Miikkulainen:
Evolving neural networks. GECCO (Companion) 2007: 3415-3434 - [c70]Manish Saggar, Tekin Meriçli, Sari Andoni, Risto Miikkulainen:
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks. IJCNN 2007: 2239-2244 - 2006
- [j41]Jefferson Provost, Benjamin Kuipers, Risto Miikkulainen:
Developing navigation behavior through self-organizing distinctive-state abstraction. Connect. Sci. 18(2): 159-172 (2006) - [j40]James A. Bednar, Risto Miikkulainen:
Joint maps for orientation, eye, and direction preference in a self-organizing model of V1. Neurocomputing 69(10-12): 1272-1276 (2006) - [j39]Stefanie Jegelka, James A. Bednar, Risto Miikkulainen:
Prenatal development of ocular dominance and orientation maps in a self-organizing model of V1. Neurocomputing 69(10-12): 1291-1296 (2006) - [j38]Yiu-Fai Sit, Risto Miikkulainen:
Self-organization of hierarchical visual maps with feedback connections. Neurocomputing 69(10-12): 1309-1312 (2006) - [c69]Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, Risto Miikkulainen:
Real-Time Evolution of Neural Networks in the NERO Video Game. AAAI 2006: 1671-1674 - [c68]Kenneth O. Stanley, Igor Karpov, Risto Miikkulainen, Aliza Gold:
Real-Time Interactive Learning in the NERO Video Game. AAAI 2006: 1953-1954 - [c67]Joseph Reisinger, Risto Miikkulainen:
Evolvability in Developmental Systems. AAAI Fall Symposium: Developmental Systems 2006: 31-32 - [c66]Chern Han Yong, Kenneth O. Stanley, Risto Miikkulainen, Igor Karpov:
Incorporating Advice into Neuroevolution of Adaptive Agents. AIIDE 2006: 98-104 - [c65]Kenneth O. Stanley, Igor Karpov, Risto Miikkulainen, Aliza Gold:
The NERO Video Game. AIIDE 2006: 151-152 - [c64]Bobby D. Bryant, Risto Miikkulainen:
Evolving Stochastic Controller Networks for Intelligent Game Agents. IEEE Congress on Evolutionary Computation 2006: 1007-1014 - [c63]Igor Karpov, Thomas D'Silva, Craig Varrichio, Kenneth O. Stanley, Risto Miikkulainen:
Integration and Evaluation of Exploration-Based Learning in Games. CIG 2006: 39-44 - [c62]Bobby D. Bryant, Risto Miikkulainen:
Exploiting Sensor Symmetries in Example-based Training for Intelligent Agents. CIG 2006: 90-97 - [c61]Faustino J. Gomez, Jürgen Schmidhuber, Risto Miikkulainen:
Efficient Non-linear Control Through Neuroevolution. ECML 2006: 654-662 - [c60]German A. Monroy, Kenneth O. Stanley, Risto Miikkulainen:
Coevolution of neural networks using a layered pareto archive. GECCO 2006: 329-336 - [c59]Joseph Reisinger, Risto Miikkulainen:
Selecting for evolvable representations. GECCO 2006: 1297-1304 - [c58]Nate Kohl, Kenneth O. Stanley, Risto Miikkulainen, Michael E. Samples, Rini Sherony:
Evolving a real-world vehicle warning system. GECCO 2006: 1681-1688 - [c57]Peggy Fidelman, Thayne R. Coffman, Risto Miikkulainen:
Detecting Motion in the Environment with a Moving Quadruped Robot. RoboCup 2006: 219-231 - 2005
- [b2]Risto Miikkulainen, James A. Bednar, Yoonsuck Choe, Joseph Sirosh:
Computational Maps in the Visual Cortex. Springer 2005, ISBN 978-0-387-22024-6, pp. I-XXIX, 1-538 - [j37]James A. Bednar, Judah B. De Paula, Risto Miikkulainen:
Self-organization of color opponent receptive fields and laterally connected orientation maps. Neurocomputing 65-66: 69-76 (2005) - [j36]Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone:
Evolving Soccer Keepaway Players Through Task Decomposition. Mach. Learn. 59(1-2): 5-30 (2005) - [j35]Marshall R. Mayberry, Risto Miikkulainen:
Broad-Coverage Parsing with Neural Networks. Neural Process. Lett. 21(2): 121-132 (2005) - [j34]Kenneth O. Stanley, Bobby D. Bryant, Risto Miikkulainen:
Real-time neuroevolution in the NERO video game. IEEE Trans. Evol. Comput. 9(6): 653-668 (2005) - [c56]Thomas D'Silva, Roy Janik, Micahel Chrien, Kenneth O. Stanley, Risto Miikkulainen:
Retaining Learned Behavior During Real-Time Neuroevolution. AIIDE 2005: 39-44 - [c55]Kenneth O. Stanley, Ryan Cornelius, Risto Miikkulainen:
Real-time Learning in the NERO Video Game. AIIDE 2005: 159-160 - [c54]Kenneth O. Stanley, Bobby D. Bryant, Risto Miikkulainen:
Real-Time Evolution in the NERO Video Game (Winner of CIG 2005 Best Paper Award). CIG 2005 - [c53]Vinod K. Valsalam, James A. Bednar, Risto Miikkulainen:
Constructing good learners using evolved pattern generators. GECCO 2005: 11-18 - [c52]Joseph Reisinger, Kenneth O. Stanley, Risto Miikkulainen:
Towards an empirical measure of evolvability. GECCO Workshops 2005: 257-264 - [c51]Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, Nate Kohl:
Automatic feature selection in neuroevolution. GECCO 2005: 1225-1232 - [c50]Adrian K. Agogino, Kagan Tumer, Risto Miikkulainen:
Efficient credit assignment through evaluation function decomposition. GECCO 2005: 1309-1316 - [c49]David Pardoe, Michael S. Ryoo, Risto Miikkulainen:
Evolving neural network ensembles for control problems. GECCO 2005: 1379-1384 - [c48]Yiu-Fai Sit, Risto Miikkulainen:
Learning basic navigation for personal satellite assistant using neuroevolution. GECCO 2005: 1913-1920 - [c47]Uli Grasemann, Risto Miikkulainen:
Effective image compression using evolved wavelets. GECCO 2005: 1961-1968 - [c46]Kenneth O. Stanley, Nate Kohl, Rini Sherony, Risto Miikkulainen:
Neuroevolution of an automobile crash warning system. GECCO 2005: 1977-1984 - 2004
- [j33]Yoonsuck Choe, Risto Miikkulainen:
Contour integration and segmentation with self-organized lateral connections. Biol. Cybern. 90(2): 75-88 (2004) - [j32]James A. Bednar, Risto Miikkulainen:
Prenatal and postnatal development of laterally connected orientation maps. Neurocomputing 58-60: 985-992 (2004) - [j31]James A. Bednar, Yoonsuck Choe, Judah B. De Paula, Risto Miikkulainen, Jefferson Provost, Tal Tversky:
Modeling cortical maps with Topographica. Neurocomputing 58-60: 1129-1135 (2004) - [j30]Kenneth O. Stanley, Risto Miikkulainen:
Competitive Coevolution through Evolutionary Complexification. J. Artif. Intell. Res. 21: 63-100 (2004) - [j29]James A. Bednar, Amol Kelkar, Risto Miikkulainen:
Scaling self-organizing maps to model large cortical networks. Neuroinformatics 2(3): 275-301 (2004) - [j28]Masumi Ishikawa, Risto Miikkulainen, Helge J. Ritter:
New developments in self-organizing systems. Neural Networks 17(8-9): 1037 (2004) - [c45]Joseph Reisinger, Kenneth O. Stanley, Risto Miikkulainen:
Evolving Reusable Neural Modules. GECCO (2) 2004: 69-81 - [c44]Faustino J. Gomez, Risto Miikkulainen:
Transfer of Neuroevolved Controllers in Unstable Domains. GECCO (2) 2004: 957-968 - [c43]Uli Grasemann, Risto Miikkulainen:
Evolving Wavelets Using a Coevolutionary Genetic Algorithm and Lifting. GECCO (2) 2004: 969-980 - [c42]Kenneth O. Stanley, Risto Miikkulainen:
Evolving a Roving Eye for Go. GECCO (2) 2004: 1226-1238 - 2003
- [j27]Kenneth O. Stanley, Risto Miikkulainen:
A Taxonomy for Artificial Embryogeny. Artif. Life 9(2): 93-130 (2003) - [j26]James A. Bednar, Risto Miikkulainen:
Self-organization of spatiotemporal receptive fields and laterally connected direction and orientation maps. Neurocomputing 52-54: 473-480 (2003) - [j25]Yoonsuck Choe, Risto Miikkulainen:
The role of postsynaptic potential decay rate in neural synchrony. Neurocomputing 52-54: 707-712 (2003) - [j24]James A. Bednar, Risto Miikkulainen:
Learning Innate Face Preferences. Neural Comput. 15(7): 1525-1557 (2003) - [c41]Bobby D. Bryant, Risto Miikkulainen:
Neuroevolution for adaptive teams. IEEE Congress on Evolutionary Computation 2003: 2194-2201 - [c40]Kenneth O. Stanley, Bobby D. Bryant, Risto Miikkulainen:
Evolving adaptive neural networks with and without adaptive synapses. IEEE Congress on Evolutionary Computation 2003: 2557-2564 - [c39]Shimon Whiteson, Nate Kohl, Risto Miikkulainen, Peter Stone:
Evolving Keepaway Soccer Players through Task Decomposition. GECCO 2003: 356-368 - [c38]Faustino J. Gomez, Risto Miikkulainen:
Active Guidance for a Finless Rocket Using Neuroevolution. GECCO 2003: 2084-2095 - [c37]James Fan, Raymond Lau, Risto Miikkulainen:
Utilizing Domain Knowledge in Neuroevolution. ICML 2003: 170-177 - 2002
- [j23]Kenneth O. Stanley, Risto Miikkulainen:
Evolving Neural Network through Augmenting Topologies. Evol. Comput. 10(2): 99-127 (2002) - [j22]James A. Bednar, Amol Kelkar, Risto Miikkulainen:
Modeling large cortical networks with growing self-organizing maps. Neurocomputing 44-46: 315-321 (2002) - [j21]Tal Tversky, Risto Miikkulainen:
Modeling directional selectivity using self-organizing delay-adaptation maps. Neurocomputing 44-46: 679-684 (2002) - [c36]Brian Greer, Henri Hakonen, Risto Lahdelma, Risto Miikkulainen:
Numerical optimization with neuroevolution. IEEE Congress on Evolutionary Computation 2002: 396-401 - [c35]Alex v. E. Conradie, Risto Miikkulainen, Chris Aldrich:
Intelligent process control utilising symbiotic memetic neuro-evolution. IEEE Congress on Evolutionary Computation 2002: 623-628 - [c34]Kenneth O. Stanley, Risto Miikkulainen:
Efficient evolution of neural network topologies. IEEE Congress on Evolutionary Computation 2002: 1757-1762 - [c33]Alex v. E. Conradie, Risto Miikkulainen, Christiaan Aldrich:
Adaptive Control Utilising Neural Swarming. GECCO 2002: 60-67 - [c32]Kenneth O. Stanley, Risto Miikkulainen:
Continual Coevolution Through Complexification. GECCO 2002: 113-120 - [c31]Matthew Alden, Aard-Jan van Kesteren, Risto Miikkulainen:
Eugenic Evolution Utilizing A Domain Model. GECCO 2002: 279-286 - [c30]Kenneth O. Stanley, Risto Miikkulainen:
Efficient Reinforcement Learning Through Evolving Neural Network Topologies. GECCO 2002: 569-577 - 2000
- [j20]Yoonsuck Choe, Risto Miikkulainen, Lawrence K. Cormack:
Effects of presynaptic, postsynaptic resource redistribution in Hebbian weight adaptation. Neurocomputing 32-33: 77-82 (2000) - [j19]Michael Howe, Risto Miikkulainen:
Hebbian learning and temporary storage in the convergence-zone model of episodic memory. Neurocomputing 32-33: 817-821 (2000) - [j18]James A. Bednar, Risto Miikkulainen:
Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex. Neural Comput. 12(7): 1721-1740 (2000) - [j17]Adrian K. Agogino, Kenneth O. Stanley, Risto Miikkulainen:
Online Interactive Neuro-evolution. Neural Process. Lett. 11(1): 29-38 (2000) - [c29]James A. Bednar, Risto Miikkulainen:
Self-Organization of Innate Face Preferences: Could Genetics Be Expressed through Learning? AAAI/IAAI 2000: 117-122 - [c28]Yoonsuck Choe, Risto Miikkulainen:
A Self-Organizing Neural Network for Contour Integration through Synchronized Firing. AAAI/IAAI 2000: 123-128 - [c27]Daniel Polani, Risto Miikkulainen:
Eugenic Neuro-Evolution for Reinforcement Learning. GECCO 2000: 1041-1046
1990 – 1999
- 1999
- [c26]Shailesh Kumar, Risto Miikkulainen:
Confidence Based Dual Reinforcement Q-Routing: An adaptive online network routing algorithm. IJCAI 1999: 758-763 - [c25]Marshall R. Mayberry, Risto Miikkulainen:
SARDSRN: A Neural Network Shift-Reduce Parser. IJCAI 1999: 820-827 - [c24]Faustino J. Gomez, Risto Miikkulainen:
Solving Non-Markovian Control Tasks with Neuro-Evolution. IJCAI 1999: 1356-1361 - 1998
- [j16]Norman Richards, David E. Moriarty, Risto Miikkulainen:
Evolving Neural Networks to Play Go. Appl. Intell. 8(1): 85-96 (1998) - [j15]Yoonsuck Choe, Risto Miikkulainen:
Self-organization and segmentation in a laterally connected orientation map of spiking neurons. Neurocomputing 21(1-3): 139-157 (1998) - [c23]Marshall R. Mayberry, Risto Miikkulainen:
Combining Maps and Distributed Representations for Shift-Reduce Parsing. Hybrid Neural Systems 1998: 144-157 - [c22]Risto Miikkulainen, James A. Bednar, Yoonsuck Choe, Joseph Sirosh:
A Self-Organizing Neural Network Model of the Primary Visual Cortex. ICONIP 1998: 815-818 - 1997
- [j14]Faustino J. Gomez, Risto Miikkulainen:
Incremental Evolution of Complex General Behavior. Adapt. Behav. 5(3-4): 317-342 (1997) - [j13]Wee Kheng Leow, Risto Miikkulainen:
Visual Schemas in Neural Networks for Object Recognition and Scene Analysis. Connect. Sci. 9(2): 161-200 (1997) - [j12]David E. Moriarty, Risto Miikkulainen:
Forming Neural Networks Through Efficient and Adaptive Coevolution. Evol. Comput. 5(4): 373-399 (1997) - [j11]Joseph Sirosh, Risto Miikkulainen:
Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex. Neural Comput. 9(3): 577-594 (1997) - [j10]Mark Moll, Risto Miikkulainen:
Convergence-Zone Episodic Memory: Analysis and Simulations. Neural Networks 10(6): 1017-1036 (1997) - [c21]Paul McQuesten, Risto Miikkulainen:
Culling and Teaching in Neuro-Evolution. ICGA 1997: 760-767 - [c20]Norman Richards, David E. Moriarty, Paul McQuesten, Risto Miikkulainen:
Evolving Neural Networks to Play Go. ICGA 1997: 768-775 - [c19]Yoonsuck Choe, Risto Miikkulainen:
Self-Organization and Segmentation with Laterally Connected Spiking Neurons. IJCAI 1997: 1120-1125 - [c18]Jake Ryan, Meng-Jang Lin, Risto Miikkulainen:
Intrusion Detection with Neural Networks. NIPS 1997: 943-949 - 1996
- [j9]Risto Miikkulainen:
Subsymbolic Case-Role Analysis of Sentences With Embedded Clauses. Cogn. Sci. 20(1): 47-73 (1996) - [j8]David E. Moriarty, Risto Miikkulainen:
Efficient Reinforcement Learning through Symbiotic Evolution. Mach. Learn. 22(1-3): 11-32 (1996) - [j7]Joseph Sirosh, Risto Miikkulainen:
Self-Organization and Functional Role of Lateral Connections and Multisize Receptive Fields in the Primary Visual Cortex. Neural Process. Lett. 3(1): 39-48 (1996) - [c17]Patrick Goetz, Shailesh Kumar, Risto Miikkulainen:
On-Line Adaptation of a Signal Predistorter through Dual Reinforcement Learning. ICML 1996: 175-181 - 1995
- [j6]Risto Miikkulainen:
Script-Based Inference and Memory Retrieval in Subsymbolic Story Processing. Appl. Intell. 5(2): 137-163 (1995) - [j5]David E. Moriarty, Risto Miikkulainen:
Discovering Complex Othello Strategies through Evolutionary Neural Networks. Connect. Sci. 7(3-4): 195-210 (1995) - [c16]Joseph Sirosh, Risto Miikkulainen:
A Unified Neural Network Model for the Self-organization of Topographic Receptive Fields and Lateral Interaction. ICANNGA 1995: 420-423 - [c15]Justine Blackmore, Risto Miikkulainen:
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network. ICML 1995: 55-63 - [c14]David E. Moriarty, Risto Miikkulainen:
Efficient Learning from Delayed Rewards through Symbiotic Evolution. ICML 1995: 396-404 - [c13]Yoonsuck Choe, Joseph Sirosh, Risto Miikkulainen:
Laterally Interconnected Self-Organizing Maps in Hand-Written Digit Recognition. NIPS 1995: 736-742 - 1994
- [j4]Joseph Sirosh, Risto Miikkulainen:
Cooperative self-organization of afferent and lateral connections in cortical maps. Biol. Cybern. 71(1): 65-78 (1994) - [j3]Wee Kheng Leow, Risto Miikkulainen:
VISOR: Schema-based scene analysis with structured neural networks. Neural Process. Lett. 1(2): 18-23 (1994) - [c12]Mark Moll, Risto Miikkulainen, Jonathan Abbey:
The Capacity of Convergence-Zone Episodic Memory. AAAI 1994: 68-73 - [c11]Risto Miikkulainen, Dennis Bijwaard:
Parsing Embedded Clauses with Distributed Neural Networks. AAAI 1994: 858-864 - [c10]David E. Moriarty, Risto Miikkulainen:
Evolving Neural Networks to Focus Minimax Search. AAAI 1994: 1371-1377 - [c9]David E. Moriarty, Risto Miikkulainen:
Improving Game-Tree Search with Evolutionary Neural Networks. International Conference on Evolutionary Computation 1994: 496-501 - [c8]Risto Miikkulainen:
Integrated Connectionist Models: Building AI Systems on Subsymbolic Foundations. ICTAI 1994: 231-232 - [c7]Joseph Sirosh, Risto Miikkulainen:
Ocular Dominance and Patterned Lateral Connections in a Self-Organizing Model of the Primary Visual Cortex. NIPS 1994: 109-116 - [c6]Daniel L. James, Risto Miikkulainen:
SARDNET: A Self-Organizing Feature Map for Sequences. NIPS 1994: 577-584 - 1993
- [b1]Risto Miikkulainen:
Subsymbolic natural language processing - an integrated model of scripts, lexicon, and memory. Neural network modeling and connectionism, MIT Press 1993, ISBN 978-0-262-13290-9, pp. I-XII, 1-391 - [c5]Justine Blackmore, Risto Miikkulainen:
Incremental grid growing: encoding high-dimensional structure into a two-dimensional feature map. ICNN 1993: 450-455 - [c4]Joseph Sirosh, Risto Miikkulainen:
How lateral interaction develops in a self-organizing feature map. ICNN 1993: 1360-1365 - [c3]Wee Kheng Leow, Risto Miikkulainen:
Representing visual schemas in neural networks for scene analysis. ICNN 1993: 1612-1617 - 1992
- [j2]Risto Miikkulainen:
Trace feature map: a model of episodic associative memory. Biol. Cybern. 66(3): 273-282 (1992) - 1991
- [j1]Risto Miikkulainen, Michael G. Dyer:
Natural Language Processing With Modular PDP Networks and Distributed Lexicon. Cogn. Sci. 15(3): 343-399 (1991) - 1990
- [c2]Risto Miikkulainen:
A PDP Architecture For Processing Sentences With Relative Clauses. COLING 1990: 201-206
1980 – 1989
- 1988
- [c1]Risto Miikkulainen, Michael G. Dyer:
Forming global representations with extended backpropagation. ICNN 1988: 285-292
Coauthor Index
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