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ORCIDKenji Doya
Person information
- affiliation: Okinawa Institute of Science and Technology, Neural Computation Unit, Japan
- affiliation: Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan
- affiliation: University of California, San Diego, Department of Biology, CA, USA
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2020 – today
- 2024
[j90]Soheil Keshmiri
, Sutashu Tomonaga, Haruo Mizutani, Kenji Doya:
Respiratory modulation of the heart rate: A potential biomarker of cardiorespiratory function in human. Comput. Biol. Medicine 173: 108335 (2024)- [j89]Theodore Jerome Tinker, Kenji Doya, Jun Tani:
Intrinsic Rewards for Exploration Without Harm From Observational Noise: A Simulation Study Based on the Free Energy Principle. Neural Comput. 36(9): 1854-1885 (2024) - [j88]Kazumi Kasahara, Keigo Hikishima, Mariko Nakata, Tomokazu Tsurugizawa, Noriyuki Higo, Kenji Doya:
A whole-brain analysis of functional connectivity and immediate early gene expression reveals functional network shifts after operant learning. NeuroImage 299: 120840 (2024) - [i18]Theodore Jerome Tinker, Kenji Doya, Jun Tani:
Intrinsic Rewards for Exploration without Harm from Observational Noise: A Simulation Study Based on the Free Energy Principle. CoRR abs/2405.07473 (2024) - [i17]Yuji Kanagawa, Kenji Doya:
Evolution of Rewards for Food and Motor Action by Simulating Birth and Death. CoRR abs/2406.15016 (2024) - [i16]Florian Lalande, Elizabeth Tasker, Kenji Doya:
Estimating Exoplanet Mass using Machine Learning on Incomplete Datasets. CoRR abs/2410.06922 (2024) - 2023
- [j87]Yusuke Kuniyoshi, Rin Kuriyama, Shu Omura, Carlos Enrique Gutierrez, Zhe Sun, Benedikt Feldotto, Ugo Albanese, Alois C. Knoll, Taiki Yamada, Tomoya Hirayama, Fabrice O. Morin, Jun Igarashi, Kenji Doya, Tadashi Yamazaki:
Embodied bidirectional simulation of a spiking cortico-basal ganglia-cerebellar-thalamic brain model and a mouse musculoskeletal body model distributed across computers including the supercomputer Fugaku. Frontiers Neurorobotics 17 (2023) - [j86]Kim T. Blackwell, Kenji Doya:
Enhancing reinforcement learning models by including direct and indirect pathways improves performance on striatal dependent tasks. PLoS Comput. Biol. 19(8) (2023) - [j85]Florian Lalande, Kenji Doya:
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach. Trans. Mach. Learn. Res. 2023 (2023) - [i15]Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani:
Habits and goals in synergy: a variational Bayesian framework for behavior. CoRR abs/2304.05008 (2023) - [i14]Florian Lalande, Kenji Doya:
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach. CoRR abs/2306.16906 (2023) - 2022
- [j84]Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto:
Special issue on Symbol Emergence in Robotics and Cognitive Systems (I). Adv. Robotics 36(1-2): 1-2 (2022) - [j83]Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto:
Special issue on symbol emergence in robotics and cognitive systems (II). Adv. Robotics 36(5-6): 217-218 (2022) - [j82]Benedikt Feldotto, Jochen Martin Eppler, Cristian Jimenez-Romero, Christopher Bignamini, Carlos Enrique Gutierrez, Ugo Albanese, Eloy Retamino, Viktor Vorobev, Vahid Zolfaghari, Alex Upton, Zhe Sun, Hiroshi Yamaura, Morteza Heidarinejad, Wouter Klijn, Abigail Morrison, Felipe Cruz, Colin McMurtrie, Alois C. Knoll, Jun Igarashi, Tadashi Yamazaki, Kenji Doya, Fabrice O. Morin:
Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure. Frontiers Neuroinformatics 16: 884180 (2022) - [j81]Carlos Enrique Gutierrez, Henrik Skibbe, Hugo Musset, Kenji Doya:
A Spiking Neural Network Builder for Systematic Data-to-Model Workflow. Frontiers Neuroinformatics 16 (2022) - [j80]Kenji Doya, DeLiang Wang:
Announcement of the Neural Networks Best Paper Award. Neural Networks 145: xix (2022) - [j79]Kenji Doya, Taro Toyoizumi, DeLiang Wang:
Continual growth and a transition. Neural Networks 145: xx-xxi (2022) - [j78]Tadahiro Taniguchi, Hiroshi Yamakawa, Takayuki Nagai, Kenji Doya, Masamichi Sakagami, Masahiro Suzuki, Tomoaki Nakamura, Akira Taniguchi:
A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots. Neural Networks 150: 293-312 (2022) - [j77]Kenji Doya, Arisa Ema, Hiroaki Kitano, Masamichi Sakagami, Stuart Russell:
Social impact and governance of AI and neurotechnologies. Neural Networks 152: 542-554 (2022) - [j76]Kenji Doya, Karl J. Friston, Masashi Sugiyama, Joshua B. Tenenbaum:
Neural Networks special issue on Artificial Intelligence and Brain Science. Neural Networks 155: 328-329 (2022) - [c61]Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li:
Variational oracle guiding for reinforcement learning. ICLR 2022 - [c60]Florian Lalande, Kenji Doya:
Numerical Data Imputation: Choose kNN over Deep Learning. SISAP 2022: 3-10 - 2021
- [j75]Kenji Doya, DeLiang Wang:
Maintaining the Publication Infrastructure in a Worldwide Pandemic. Neural Networks 133: xvi-xvii (2021) - [j74]Eiji Uchibe, Kenji Doya:
Forward and inverse reinforcement learning sharing network weights and hyperparameters. Neural Networks 144: 138-153 (2021) - [c59]Kazumi Kasahara, Tatsuhiro Nakamura, Kazumasa Uehara, Yousuke Ogata, Kenji Doya, Takashi Hanakawa:
Effects of transcranial direct current stimulation in brain-computer interface. LifeTech 2021: 468-470 - [i13]Tadahiro Taniguchi, Hiroshi Yamakawa, Takayuki Nagai, Kenji Doya, Masamichi Sakagami, Masahiro Suzuki, Tomoaki Nakamura, Akira Taniguchi:
Whole brain Probabilistic Generative Model toward Realizing Cognitive Architecture for Developmental Robots. CoRR abs/2103.08183 (2021) - [i12]Dongqi Han, Kenji Doya, Jun Tani:
Goal-Directed Planning by Reinforcement Learning and Active Inference. CoRR abs/2106.09938 (2021) - 2020
- [j73]Yoshifumi Abe, Norio Takata, Yuki Sakai, Hiro Taiyo Hamada, Yuichi Hiraoka, Tomomi Aida, Kohichi Tanaka, Denis Le Bihan, Kenji Doya, Kenji F. Tanaka:
Diffusion functional MRI reveals global brain network functional abnormalities driven by targeted local activity in a neuropsychiatric disease mouse model. NeuroImage 223: 117318 (2020) - [j72]Dongqi Han, Kenji Doya, Jun Tani:
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks. Neural Networks 129: 149-162 (2020) - [j71]Kenji Doya, DeLiang Wang:
Announcement of the Neural Networks Best Paper Award. Neural Networks 132: iii (2020) - [c58]Yu Shimizu, Junichiro Yoshimoto, Masahiro Takamura, Go Okada, Tomoya Matsumoto, Manabu Fuchikami, Satoshi Okada, Shigeru Morinobu, Yasumasa Okamoto, Shigeto Yamawaki, Kenji Doya:
Maximum Credibility Voting (MCV) An Integrative Approach for Accurate Diagnosis of Major Depressive Disorder from Clinically Readily Available Data. APSIPA 2020: 1023-1032 - [c57]Dongqi Han, Kenji Doya, Jun Tani:
Variational Recurrent Models for Solving Partially Observable Control Tasks. ICLR 2020 - [i11]Eiji Uchibe, Kenji Doya:
Imitation learning based on entropy-regularized forward and inverse reinforcement learning. CoRR abs/2008.07284 (2020)
2010 – 2019
- 2019
- [c56]Qiong Huang, Kenji Doya:
An Experimental Study of Emergence of Communication of Reinforcement Learning Agents. AGI 2019: 91-100 - [c55]Tadashi Kozuno, Eiji Uchibe, Kenji Doya:
Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning. AISTATS 2019: 2995-3003 - [c54]Yuma Kajihara, Takashi Ikegami, Kenji Doya:
Model-based Empowerment Computation for Dynamical Agents. SSCI 2019: 255-261 - [i10]Dongqi Han, Kenji Doya, Jun Tani:
Emergence of Hierarchy via Reinforcement Learning Using a Multiple Timescale Stochastic RNN. CoRR abs/1901.10113 (2019) - [i9]Paavo Parmas, Carl Edward Rasmussen, Jan Peters, Kenji Doya:
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos. CoRR abs/1902.01240 (2019) - [i8]Tadashi Kozuno, Dongqi Han, Kenji Doya:
Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning. CoRR abs/1906.07586 (2019) - [i7]Henrik Skibbe, Akiya Watakabe, Ken Nakae, Carlos Enrique Gutierrez, Hiromichi Tsukada, Junichi Hata, Takashi Kawase, Rui Gong, Alexander Woodward, Kenji Doya, Hideyuki Okano, Tetsuo Yamamori, Shin Ishii:
MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography. CoRR abs/1908.00876 (2019) - [i6]Dongqi Han, Kenji Doya, Jun Tani:
Variational Recurrent Models for Solving Partially Observable Control Tasks. CoRR abs/1912.10703 (2019) - [i5]Kenji Doya, Shimon Edelman, Takashi Hashimoto:
Language as Goal-Directed Sequential Behavior: Computational Theories, Brain Mechanisms, Evolutionary Roots (NII Shonan Meeting 141). NII Shonan Meet. Rep. 2019 (2019) - 2018
- [j70]Ken Kinjo, Eiji Uchibe, Kenji Doya:
Robustness of linearly solvable Markov games employing inaccurate dynamics model. Artif. Life Robotics 23(1): 1-9 (2018) - [j69]Kenji Doya, DeLiang Wang:
Fostering deep learning and beyond. Neural Networks 97: iii-iv (2018) - [j68]Ildefons Magrans de Abril, Junichiro Yoshimoto, Kenji Doya:
Connectivity inference from neural recording data: Challenges, mathematical bases and research directions. Neural Networks 102: 120-137 (2018) - [j67]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Sigmoid-weighted linear units for neural network function approximation in reinforcement learning. Neural Networks 107: 3-11 (2018) - [c53]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Online meta-learning by parallel algorithm competition. GECCO 2018: 426-433 - [c52]Paavo Parmas, Carl Edward Rasmussen, Jan Peters, Kenji Doya:
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos. ICML 2018: 4062-4071 - [i4]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Unbounded Output Networks for Classification. CoRR abs/1807.09443 (2018) - 2017
- [j66]Kosuke Yoshida, Junichiro Yoshimoto, Kenji Doya:
Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data. BMC Bioinform. 18(1): 108:1-108:11 (2017) - [j65]Jiexin Wang, Eiji Uchibe, Kenji Doya:
Adaptive Baseline Enhances EM-Based Policy Search: Validation in a View-Based Positioning Task of a Smartphone Balancer. Frontiers Neurorobotics 11: 1 (2017) - [j64]Kenji Doya, DeLiang Wang:
Promoting Further Developments of Neural Networks. Neural Networks 85: xiii (2017) - [j63]Kenji Doya, DeLiang Wang:
Announcement of the Neural Networks Best Paper Award. Neural Networks 94: iii (2017) - [c51]Chris Reinke, Eiji Uchibe, Kenji Doya:
Average Reward Optimization with Multiple Discounting Reinforcement Learners. ICONIP (1) 2017: 789-800 - [i3]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning. CoRR abs/1702.03118 (2017) - [i2]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Online Meta-learning by Parallel Algorithm Competition. CoRR abs/1702.07490 (2017) - [i1]Tadashi Kozuno, Eiji Uchibe, Kenji Doya:
Unifying Value Iteration, Advantage Learning, and Dynamic Policy Programming. CoRR abs/1710.10866 (2017) - 2016
- [j62]Jiexin Wang, Eiji Uchibe, Kenji Doya:
EM-based policy hyper parameter exploration: application to standing and balancing of a two-wheeled smartphone robot. Artif. Life Robotics 21(1): 125-131 (2016) - [j61]Kenji Doya, DeLiang Wang:
State of Neural Networks Is Strong. Neural Networks 73: xiii (2016) - [j60]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
From free energy to expected energy: Improving energy-based value function approximation in reinforcement learning. Neural Networks 84: 17-27 (2016) - [c50]Qiong Huang, Eiji Uchibe, Kenji Doya:
Emergence of communication among reinforcement learning agents under coordination environment. ICDL-EPIROB 2016: 57-58 - [e7]Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu:
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9947, 2016, ISBN 978-3-319-46686-6 [contents] - [e6]Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu:
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9948, 2016, ISBN 978-3-319-46671-2 [contents] - [e5]Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu:
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9949, 2016, ISBN 978-3-319-46674-3 [contents] - [e4]Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu:
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part IV. Lecture Notes in Computer Science 9950, 2016, ISBN 978-3-319-46680-4 [contents] - 2015
- [j59]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Expected energy-based restricted Boltzmann machine for classification. Neural Networks 64: 29-38 (2015) - [j58]Makoto Ito, Kenji Doya:
Parallel Representation of Value-Based and Finite State-Based Strategies in the Ventral and Dorsal Striatum. PLoS Comput. Biol. 11(11) (2015) - [c49]Kosuke Yoshida, Yu Shimizu, Junichiro Yoshimoto, Shigeru Toki, Go Okada, Masahiro Takamura, Yasumasa Okamoto, Shigeto Yamawaki, Kenji Doya:
Resting state functional connectivity explains individual scores of multiple clinical measures for major depression. BIBM 2015: 1078-1083 - [c48]JeongHun Baek, Shigeyuki Oba, Junichiro Yoshimoto, Kenji Doya, Shin Ishii:
Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network. ICONIP (3) 2015: 583-591 - 2014
- [c47]Eiji Uchibe, Kenji Doya:
Inverse reinforcement learning using Dynamic Policy Programming. ICDL-EPIROB 2014: 222-228 - [c46]Krishna P. Miyapuram, Ujjval Pamnani, Kenji Doya, Raju S. Bapi:
Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning. ICONIP (1) 2014: 35-41 - [c45]Eiji Uchibe, Kenji Doya:
Combining learned controllers to achieve new goals based on linearly solvable MDPs. ICRA 2014: 5252-5259 - 2013
- [j57]Takashi Nakano, Junichiro Yoshimoto, Kenji Doya:
A model-based prediction of the calcium responses in the striatal synaptic spines depending on the timing of cortical and dopaminergic inputs and post-synaptic spikes. Frontiers Comput. Neurosci. 7: 119 (2013) - [j56]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces. Frontiers Neurorobotics 7: 3 (2013) - [j55]Ken Kinjo, Eiji Uchibe, Kenji Doya:
Evaluation of linearly solvable Markov decision process with dynamic model learning in a mobile robot navigation task. Frontiers Neurorobotics 7: 7 (2013) - [c44]Naoto Yoshida, Eiji Uchibe, Kenji Doya:
Reinforcement learning with state-dependent discount factor. ICDL-EPIROB 2013: 1-6 - 2012
- [j54]Norikazu Sugimoto, Masahiko Haruno, Kenji Doya, Mitsuo Kawato:
MOSAIC for Multiple-Reward Environments. Neural Comput. 24(3): 577-606 (2012) - [j53]Chandrasekhar V. S. Pammi, Krishna P. Miyapuram, Ahmed, Kazuyuki Samejima, Raju S. Bapi, Kenji Doya:
Changing the structure of complex visuo-motor sequences selectively activates the fronto-parietal network. NeuroImage 59(2): 1180-1189 (2012) - [j52]Kenji Doya, John G. Taylor, DeLiang Wang:
Expedited review process. Neural Networks 25: 1 (2012) - [j51]Kenji Doya, DeLiang Wang:
Loss of a Co-Editor-in-Chief and friend. Neural Networks 29: v (2012) - [c43]Kenji Doya, John P. O'Doherty, Alexandre Pouget, Peter Bossaerts, Nathaniel D. Daw, Yael Niv:
Neural Computations Supporting Cognition: Rumelhart Prize Symposium in Honor of Peter Dayan. CogSci 2012 - 2011
- [j50]Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen:
Darwinian embodied evolution of the learning ability for survival. Adapt. Behav. 19(2): 101-120 (2011) - [j49]Kenji Doya, Stephen Grossberg, John G. Taylor, DeLiang Wang:
An excellent year and a transition. Neural Networks 24(1): 1 (2011) - [j48]Vassilis Cutsuridis, Tjitske Heida, Wlodek Duch, Kenji Doya:
Neurocomputational models of brain disorders. Neural Networks 24(6): 513-514 (2011) - [j47]Shin Ishii, Markus Diesmann, Kenji Doya:
Multi-scale, multi-modal neural modeling and simulation. Neural Networks 24(9): 917 (2011) - 2010
- [j46]Masato Hoshino, Hiroshi Tsujino, Kenji Doya:
Adaptive Selection of Learning Strategy for Autonomous Sequence Learning in Rats. Aust. J. Intell. Inf. Process. Syst. 11(2) (2010) - [j45]Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Jan Peters, Kenji Doya:
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning. Neural Comput. 22(2): 342-376 (2010) - [j44]Kenji Doya, Stephen Grossberg, John G. Taylor:
Editorial for 2010. Neural Networks 23(1): 1 (2010) - [j43]Michael Klein, Hans Kamp, Guenther Palm, Kenji Doya:
A computational neural model of goal-directed utterance selection. Neural Networks 23(5): 592-606 (2010) - [j42]Takashi Nakano, Tomokazu Doi, Junichiro Yoshimoto, Kenji Doya:
A Kinetic Model of Dopamine- and Calcium-Dependent Striatal Synaptic Plasticity. PLoS Comput. Biol. 6(2) (2010) - [c42]Makoto Otsuka, Junichiro Yoshimoto, Kenji Doya:
Free-energy-based reinforcement learning in a partially observable environment. ESANN 2010 - [c41]Stefan Elfwing, Makoto Otsuka, Eiji Uchibe, Kenji Doya:
Free-Energy Based Reinforcement Learning for Vision-Based Navigation with High-Dimensional Sensory Inputs. ICONIP (1) 2010: 215-222 - [c40]Jan Morén, Tomohiro Shibata, Kenji Doya:
Toward a Spiking-Neuron Model of the Oculomotor System. SAB 2010: 104-113
2000 – 2009
- 2009
- [j41]Yusuke Fujiwara, Okito Yamashita, Dai Kawawaki, Kenji Doya, Mitsuo Kawato, Keisuke Toyama, Masa-aki Sato:
A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts. NeuroImage 45(2): 393-409 (2009) - [j40]Kenji Doya, Stephen Grossberg, John G. Taylor:
New action editors join the journal! Five exciting special issues in the works! Neural Networks 22(1): 1 (2009) - [c39]Takashi Nakano, Junichiro Yoshimoto, Jeff Wickens, Kenji Doya:
Calcium Responses Model in Striatum Dependent on Timed Input Sources. ICANN (1) 2009: 249-258 - [c38]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Emergence of Different Mating Strategies in Artificial Embodied Evolution. ICONIP (2) 2009: 638-647 - [c37]Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya:
A Generalized Natural Actor-Critic Algorithm. NIPS 2009: 1312-1320 - [p1]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
Co-evolution of Rewards and Meta-parameters in Embodied Evolution. Creating Brain-Like Intelligence 2009: 278-302 - [e3]Bernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge J. Ritter, Kenji Doya:
Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems. Lecture Notes in Computer Science 5436, Springer 2009, ISBN 978-3-642-00615-9 [contents] - 2008
- [j39]Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen:
Co-evolution of Shaping Rewards and Meta-Parameters in Reinforcement Learning. Adapt. Behav. 16(6): 400-412 (2008) - [j38]Takashi Sato, Eiji Uchibe, Kenji Doya:
Learning how, what, and whether to communicate: emergence of protocommunication in reinforcement learning agents. Artif. Life Robotics 12(1-2): 70-74 (2008) - [j37]Tetsuro Morimura, Eiji Uchibe, Kenji Doya:
Natural actor-critic with baseline adjustment for variance reduction. Artif. Life Robotics 13(1): 275-279 (2008) - [j36]Fredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, Okihide Hikosaka:
Combining Modalities with Different Latencies for Optimal Motor Control. J. Cogn. Neurosci. 20(11): 1966-1979 (2008) - [j35]Kenji Doya, Stephen Grossberg, John G. Taylor:
Neural Networks goes electronic at twenty! Neural Networks 21(1): 1-2 (2008) - [j34]Masumi Ishikawa, Kenji Doya:
Mini-special issue: ICONIP 2007. Neural Networks 21(10): 1419 (2008) - [j33]Eiji Uchibe, Kenji Doya:
Finding intrinsic rewards by embodied evolution and constrained reinforcement learning. Neural Networks 21(10): 1447-1455 (2008) - [c36]Makoto Otsuka, Junichiro Yoshimoto, Kenji Doya:
Robust Population Coding in Free-Energy-Based Reinforcement Learning. ICANN (1) 2008: 377-386 - [c35]Takumi Kamioka, Eiji Uchibe, Kenji Doya:
NeuroEvolution Based on Reusable and Hierarchical Modular Representation. ICONIP (1) 2008: 22-31 - [c34]Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya:
A New Natural Policy Gradient by Stationary Distribution Metric. ECML/PKDD (2) 2008: 82-97 - [e2]Masumi Ishikawa, Kenji Doya, Hiroyuki Miyamoto, Takeshi Yamakawa:
Neural Information Processing, 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I. Lecture Notes in Computer Science 4984, Springer 2008, ISBN 978-3-540-69154-9 [contents] - [e1]Masumi Ishikawa, Kenji Doya, Hiroyuki Miyamoto, Takeshi Yamakawa:
Neural Information Processing, 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II. Lecture Notes in Computer Science 4985, Springer 2008, ISBN 978-3-540-69159-4 [contents] - 2007
- [j32]Jun Morimoto, Kenji Doya:
Reinforcement Learning State Estimator. Neural Comput. 19(3): 730-756 (2007) - [j31]Saori C. Tanaka, Kazuyuki Samejima, Go Okada, Kazutaka Ueda, Yasumasa Okamoto, Shigeto Yamawaki, Kenji Doya:
Erratum to "Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics" [Neural Networks 19 (8) (2006) 1233-1241]. Neural Networks 20(2): 285-286 (2007) - [j30]Mathieu Bertin, Nicolas Schweighofer, Kenji Doya:
Multiple model-based reinforcement learning explains dopamine neuronal activity. Neural Networks 20(6): 668-675 (2007) - [j29]Hideaki Ogasawara, Tomokazu Doi, Kenji Doya, Mitsuo Kawato:
Nitric Oxide Regulates Input Specificity of Long-Term Depression and Context Dependence of Cerebellar Learning. PLoS Comput. Biol. 3(1) (2007) - [j28]Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya:
Learning a dynamic policy by using policy gradient: application to biped walking. Syst. Comput. Jpn. 38(4): 25-38 (2007) - [j27]Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen:
Evolutionary Development of Hierarchical Learning Structures. IEEE Trans. Evol. Comput. 11(2): 249-264 (2007) - [c33]Kenji Doya:
Designing the Reward System: Computational and Biological Principles. FOCI 2007: 645 - [c32]Eiji Uchibe, Kenji Doya:
Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents. ICONIP (2) 2007: 167-176 - [c31]Kazuyuki Samejima, Kenji Doya:
Estimating Internal Variables of a Decision Maker's Brain: A Model-Based Approach for Neuroscience. ICONIP (1) 2007: 596-603 - [c30]Junichiro Yoshimoto, Kenji Doya:
Bayesian System Identification of Molecular Cascades. ICONIP (1) 2007: 614-624 - 2006
- [j26]Genci Capi, Kenji Doya:
Application of evolutionary computation for efficient reinforcement learning. Appl. Artif. Intell. 20(1): 35-55 (2006) - [j25]Raju S. Bapi, Krishna P. Miyapuram, F. X. Graydon, Kenji Doya:
fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences. NeuroImage 32(2): 714-727 (2006) - [j24]Saori C. Tanaka, Kazuyuki Samejima, Go Okada, Kazutaka Ueda, Yasumasa Okamoto, Shigeto Yamawaki, Kenji Doya:
Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics. Neural Networks 19(8): 1233-1241 (2006) - [j23]Nicolas Schweighofer, K. Shishida, Cheol E. Han, Yasumasa Okamoto, Saori C. Tanaka, Shigeto Yamawaki, Kenji Doya:
Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints. PLoS Comput. Biol. 2(11) (2006) - [j22]Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii:
Switching particle filters for efficient visual tracking. Robotics Auton. Syst. 54(10): 873-884 (2006) - [j21]Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya:
Learning CPG-based biped locomotion with a policy gradient method. Robotics Auton. Syst. 54(11): 911-920 (2006) - [c29]Krishna P. Miyapuram, Raju S. Bapi, Chandrasekhar V. S. Pammi, Ahmed, Kenji Doya:
Hierarchical Chunking during Learning of Visuomotor Sequences. IJCNN 2006: 249-253 - 2005
- [j20]Genci Capi, Kenji Doya:
Evolution of Neural Architecture Fitting Environmental Dynamics. Adapt. Behav. 13(1): 53-66 (2005) - [j19]Kenji Doya, Eiji Uchibe:
The Cyber Rodent Project: Exploration of Adaptive Mechanisms for Self-Preservation and Self-Reproduction. Adapt. Behav. 13(2): 149-160 (2005) - [j18]Jun Morimoto, Kenji Doya:
Robust Reinforcement Learning. Neural Comput. 17(2): 335-359 (2005) - [j17]Genci Capi, Kenji Doya:
Evolution of recurrent neural controllers using an extended parallel genetic algorithm. Robotics Auton. Syst. 52(2-3): 148-159 (2005) - [c28]Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen:
Biologically inspired embodied evolution of survival. Congress on Evolutionary Computation 2005: 2210-2216 - [c27]Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya:
Learning CPG-based biped locomotion with a policy gradient method. Humanoids 2005: 208-213 - [c26]Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya:
Learning Sensory Feedback to CPG with Policy Gradient for Biped Locomotion. ICRA 2005: 4164-4169 - 2004
- [j16]Masa-aki Sato, Taku Yoshioka, Shigeki Kajihara, Keisuke Toyama, Naokazu Goda, Kenji Doya, Mitsuo Kawato:
Hierarchical Bayesian estimation for MEG inverse problem. NeuroImage 23(3): 806-826 (2004) - [j15]Hiroyuki Miyamoto, Jun Morimoto, Kenji Doya, Mitsuo Kawato:
Reinforcement learning with via-point representation. Neural Networks 17(3): 299-305 (2004) - [c25]Chandrasekhar V. S. Pammi, Krishna P. Miyapuram, Raju S. Bapi, Kenji Doya:
Chunking Phenomenon in Complex Sequential Skill Learning in Humans. ICONIP 2004: 294-299 - [c24]Takashi Bando, Tomohiro Shibata, Kenji Doya, Shin Ishii:
Switching Particle Filters for Efficient Real-time Visual Tracking. ICPR (2) 2004: 720-723 - [c23]Stefan Elfwing, Eiji Uchibe, Kenji Doya, Henrik I. Christensen:
Multi-agent reinforcement learning: using macro actions to learn a mating task. IROS 2004: 3164-3169 - [c22]Fredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, Okihide Hikosaka:
Responding to Modalities with Different Latencies. NIPS 2004: 169-176 - 2003
- [j14]Nicolas Schweighofer, Kenji Doya:
Meta-learning in Reinforcement Learning. Neural Networks 16(1): 5-9 (2003) - [j13]Kazuyuki Samejima, Kenji Doya, Mitsuo Kawato:
Inter-module credit assignment in modular reinforcement learning. Neural Networks 16(7): 985-994 (2003) - [c21]Genci Capi, Kenji Doya:
Evolving recurrent neural controllers for sequential tasks: a parallel implementation. IEEE Congress on Evolutionary Computation 2003: 514-519 - [c20]Stefan Elfwing, Eiji Uchibe, Kenji Doya:
An Evolutionary Approach to Automatic Construction of the Structure in Hierarchical Reinforcement Learning. GECCO 2003: 507-509 - [c19]Anders Eriksson, Genci Capi, Kenji Doya:
Evolution of meta-parameters in reinforcement learning algorithm. IROS 2003: 412-417 - [c18]Saori C. Tanaka, Kenji Doya, Go Okada, Kazutaka Ueda, Yasumasa Okamoto, Shigeto Yamawaki:
Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction at Different Time Scales. NIPS 2003: 701-708 - [c17]Kazuyuki Samejima, Kenji Doya, Yasumasa Ueda, Minoru Kimura:
Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter. NIPS 2003: 1335-1342 - 2002
- [j12]Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, Mitsuo Kawato:
Multiple Model-Based Reinforcement Learning. Neural Comput. 14(6): 1347-1369 (2002) - [j11]Kenji Doya, Peter Dayan, Michael E. Hasselmo:
Introduction for 2002 Special Issue: Computational Models of Neuromodulation. Neural Networks 15(4-6): 475-477 (2002) - [j10]Kenji Doya:
Metalearning and neuromodulation. Neural Networks 15(4-6): 495-506 (2002) - 2001
- [j9]Shinya Kuroda, Kenji Yamamoto, Hiroyuki Miyamoto, Kenji Doya, Mitsuo Kawato:
Statistical characteristics of climbing fiber spikes necessary for efficient cerebellar learning. Biol. Cybern. 84(3): 183-192 (2001) - [j8]Jun Morimoto, Kenji Doya:
Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning. Robotics Auton. Syst. 36(1): 37-51 (2001) - [c16]Raju S. Bapi, Kenji Doya:
Multiple Forward Model Architecture for Sequence Processing. Sequence Learning 2001: 308-320 - 2000
- [j7]Kenji Doya:
Reinforcement Learning in Continuous Time and Space. Neural Comput. 12(1): 219-245 (2000) - [c15]Yasuo Nagayuki, Shin Ishii, Kenji Doya:
Multi-Agent Reinforcement Learning: An Approach Based on the Other Agent's Internal Model. ICMAS 2000: 215-221 - [c14]Jun Morimoto, Kenji Doya:
Acquisition of Stand-up Behavior by a Real Robot using Hierarchical Reinforcement Learning. ICML 2000: 623-630 - [c13]Jun Morimoto, Kenji Doya:
Robust Reinforcement Learning. NIPS 2000: 1061-1067
1990 – 1999
- 1999
- [j6]Kenji Doya:
What are the computations of the cerebellum, the basal ganglia and the cerebral cortex? Neural Networks 12(7-8): 961-974 (1999) - 1998
- [j5]Jun Morimoto, Kenji Doya:
Hierarchical reinforcement learning for motion learning: learning 'stand-up' trajectories. Adv. Robotics 13(3): 267-268 (1998) - [j4]Hiroyuki Nakahara, Kenji Doya:
Near Saddle-Node Bifurcation Behavior as Dynamics in Working Memory for Goal-Directed Behavior. Neural Comput. 10(1): 113-132 (1998) - [c12]Raju S. Bapi, Kenji Doya:
A Sequence Learning Architecture Based on Cortico-Basal Ganglionic Loops and Reinforcement Learning. ICONIP 1998: 260-263 - [c11]Jun Morimoto, Kenji Doya:
Hierarchical Reinforcement Learning of Low-Dimensional Subgoals and High-Dimensional Trajectories. ICONIP 1998: 850-853 - [c10]Nicolas Schweighofer, Kenji Doya, Mitsuo Kawato:
A Model of the Electrophysiological Properties of the Inferior Olive Neurons. ICONIP 1998: 1525-1528 - [c9]Jun Morimoto, Kenji Doya:
Reinforcement learning of dynamic motor sequence: learning to stand up. IROS 1998: 1721-1726 - 1996
- [c8]Kenji Doya:
Efficient Nonlinear Control with Actor-Tutor Architecture. NIPS 1996: 1012-1018 - 1995
- [c7]Hiroyuki Nakahara, Kenji Doya:
Dynamics of Attention as Near Saddle-Node Bifurcation Behavior. NIPS 1995: 38-44 - [c6]Kenji Doya:
Temporal Difference Learning in Continuous Time and Space. NIPS 1995: 1073-1079 - 1994
- [j3]Kenji Doya, Allen I. Selverston:
Dimension Reduction of Biological Neuron Models by Artificial Neural Networks. Neural Comput. 6(4): 696-717 (1994) - [c5]Kenji Doya, Terrence J. Sejnowski:
A Novel Reinforcement Model of Birdsong Vocalization Learning. NIPS 1994: 101-108 - 1993
- [c4]Kenji Doya, Allen I. Selverston, Peter F. Rowat:
A Hodgkin-Huxley Type Neuron Model That Learns Slow Non-Spike Oscillations. NIPS 1993: 566-573 - 1992
- [c3]Kenji Doya, Mary E. T. Boyle, Allen I. Selverston:
Maaping Between Neural and Physical Activities of the Lobster Gastric Mill. NIPS 1992: 913-920 - 1991
- [j2]Kenji Doya, Shuji Yoshizawa:
Neural network model of temporal pattern memory. Syst. Comput. Jpn. 22(9): 61-69 (1991) - [c2]Kenji Doya, Shuji Yoshizawa:
Adaptive Synchronization of Neural and Physical Oscillators. NIPS 1991: 109-116 - 1990
- [c1]Kenji Doya, Shuji Yoshizawa:
Memorizing hierarchical temporal patterns in analog neuron networks. IJCNN 1990: 299-304
1980 – 1989
- 1989
- [j1]Kenji Doya, Shuji Yoshizawa:
Adaptive neural oscillator using continuous-time back-propagation learning. Neural Networks 2(5): 375-385 (1989)
Coauthor Index
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