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ORCIDAleksandra Faust
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2020 – today
- 2024
[c40]Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum, Yutaka Matsuo, Aleksandra Faust, Shixiang Shane Gu, Izzeddin Gur:
Multimodal Web Navigation with Instruction-Finetuned Foundation Models. ICLR 2024- [c39]Izzeddin Gur, Hiroki Furuta, Austin V. Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust:
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis. ICLR 2024 - [c38]Jesse Farebrother, Jordi Orbay, Quan Vuong, Adrien Ali Taïga, Yevgen Chebotar, Ted Xiao, Alex Irpan, Sergey Levine, Pablo Samuel Castro, Aleksandra Faust, Aviral Kumar, Rishabh Agarwal:
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL. ICML 2024 - [c37]Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clément Farabet, Shane Legg:
Position: Levels of AGI for Operationalizing Progress on the Path to AGI. ICML 2024 - [i54]John D. Co-Reyes, Yingjie Miao, George Tucker, Aleksandra Faust, Esteban Real:
Guided Evolution with Binary Discriminators for ML Program Search. CoRR abs/2402.05821 (2024) - [i53]Jesse Farebrother, Jordi Orbay, Quan Vuong, Adrien Ali Taïga, Yevgen Chebotar, Ted Xiao, Alex Irpan, Sergey Levine, Pablo Samuel Castro, Aleksandra Faust, Aviral Kumar, Rishabh Agarwal:
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL. CoRR abs/2403.03950 (2024) - [i52]Rishabh Agarwal, Avi Singh, Lei M. Zhang, Bernd Bohnet, Stephanie Chan, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal M. P. Behbahani, Aleksandra Faust, Hugo Larochelle:
Many-Shot In-Context Learning. CoRR abs/2404.11018 (2024) - [i51]Hiroki Furuta, Kuang-Huei Lee, Shixiang Shane Gu, Yutaka Matsuo, Aleksandra Faust, Heiga Zen, Izzeddin Gur:
Geometric-Averaged Preference Optimization for Soft Preference Labels. CoRR abs/2409.06691 (2024) - [i50]Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi Su, John D. Co-Reyes, Avi Singh, Kate Baumli, Shariq Iqbal, Colton Bishop, Rebecca Roelofs, Lei M. Zhang, Kay McKinney, Disha Shrivastava, Cosmin Paduraru, George Tucker, Doina Precup, Feryal M. P. Behbahani, Aleksandra Faust:
Training Language Models to Self-Correct via Reinforcement Learning. CoRR abs/2409.12917 (2024) - [i49]Wilson Yan, Matei Zaharia, Volodymyr Mnih, Pieter Abbeel, Aleksandra Faust, Hao Liu:
ElasticTok: Adaptive Tokenization for Image and Video. CoRR abs/2410.08368 (2024) - 2023
- [c36]Anish Muthali, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust, Claire J. Tomlin:
Multi-Agent Reachability Calibration with Conformal Prediction. CDC 2023: 6596-6603 - [c35]Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada:
SayTap: Language to Quadrupedal Locomotion. CoRL 2023: 3556-3570 - [c34]Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin V. Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, Aleksandra Faust:
Understanding HTML with Large Language Models. EMNLP (Findings) 2023: 2803-2821 - [c33]Abdus Salam Azad, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Aleksandra Faust, Pieter Abbeel, Ion Stoica:
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning. ICML 2023: 1361-1395 - [c32]Yazied A. Hasan, Ariana M. Villegas-Suarez, Evan C. Carter, Aleksandra Faust, Lydia Tapia:
Enhancing Value Estimation Policies by Post-Hoc Symmetry Exploitation in Motion Planning Tasks. IROS 2023: 4812-4819 - [c31]Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust
, Shimon Whiteson, Dragomir Anguelov, Sergey Levine:
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. IROS 2023: 7553-7560 - [c30]Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi:
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. ISCA 2023: 14:1-14:16 - [c29]Sampada Deglurkar, Michael H. Lim, Johnathan Tucker, Zachary N. Sunberg, Aleksandra Faust, Claire J. Tomlin:
Compositional Learning-based Planning for Vision POMDPs. L4DC 2023: 469-482 - [c28]Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp:
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. NeurIPS 2023 - [e2]Aleksandra Faust, Roman Garnett, Colin White, Frank Hutter, Jacob R. Gardner:
International Conference on Automated Machine Learning, 12-15 November 2023, Hasso Plattner Institute, Potsdam, Germany. Proceedings of Machine Learning Research 224, PMLR 2023 [contents] - [i48]Anish Muthali, Haotian Shen, Sampada Deglurkar, Michael H. Lim, Rebecca Roelofs, Aleksandra Faust, Claire J. Tomlin:
Multi-Agent Reachability Calibration with Conformal Prediction. CoRR abs/2304.00432 (2023) - [i47]Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada:
SayTap: Language to Quadrupedal Locomotion. CoRR abs/2306.07580 (2023) - [i46]Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi:
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. CoRR abs/2306.08888 (2023) - [i45]Mustafa Safdari, Greg Serapio-García, Clément Crepy, Stephen Fitz, Peter Romero, Luning Sun, Marwa Abdulhai, Aleksandra Faust, Maja J. Mataric:
Personality Traits in Large Language Models. CoRR abs/2307.00184 (2023) - [i44]Izzeddin Gur, Hiroki Furuta, Austin V. Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust:
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis. CoRR abs/2307.12856 (2023) - [i43]Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp:
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. CoRR abs/2310.08710 (2023) - [i42]Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clément Farabet, Shane Legg:
Levels of AGI: Operationalizing Progress on the Path to AGI. CoRR abs/2311.02462 (2023) - [i41]Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, Izzeddin Gur:
Language Model Agents Suffer from Compositional Generalization in Web Automation. CoRR abs/2311.18751 (2023) - 2022
- [j14]Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer:
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. J. Artif. Intell. Res. 74: 517-568 (2022) - [j13]Srivatsan Krishnan, Max Lam, Sharad Chitlangia, Zishen Wan, Gabriel Barth-Maron, Aleksandra Faust, Vijay Janapa Reddi:
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning. Trans. Mach. Learn. Res. 2022 (2022) - [c27]Sabrina M. Neuman, Brian Plancher, Bardienus Pieter Duisterhof, Srivatsan Krishnan, Colby R. Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi:
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. AICAS 2022: 296-299 - [c26]Marco A. Carmona, Dejan Milutinovic, Aleksandra Faust:
Metrics-only Training Neural Network for Switching among an Array of Feedback Controllers for Bicycle Model Navigation. ACC 2022: 3224-3229 - [c25]Yingjie Miao, Xingyou Song, John D. Co-Reyes, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust:
Differentiable Architecture Search for Reinforcement Learning. AutoML 2022: 20/1-17 - [c24]Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson:
Less is More: Generating Grounded Navigation Instructions from Landmarks. CVPR 2022: 15407-15417 - [c23]Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust:
Multi-Task Learning with Sequence-Conditioned Transporter Networks. ICRA 2022: 2489-2496 - [c22]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Ninad Jadhav, Aleksandra Faust, Vijay Janapa Reddi:
Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. ISPASS 2022: 162-174 - [c21]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi:
Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles. MICRO 2022: 300-317 - [c20]Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Lyubing Qiang, Izzeddin Gur, Aleksandra Faust, Honglak Lee:
Fast inference and transfer of compositional task structures for few-shot task generalization. UAI 2022: 1857-1865 - [i40]Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer:
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. CoRR abs/2201.03916 (2022) - [i39]Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust:
Environment Generation for Zero-Shot Compositional Reinforcement Learning. CoRR abs/2201.08896 (2022) - [i38]Juan Jose Garau Luis, Yingjie Miao, John D. Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust:
Multi-objective evolution for Generalizable Policy Gradient Algorithms. CoRR abs/2204.04292 (2022) - [i37]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Ninad Jadhav, Aleksandra Faust, Vijay Janapa Reddi:
Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. CoRR abs/2204.10898 (2022) - [i36]Sabrina M. Neuman, Brian Plancher, Bardienus Pieter Duisterhof, Srivatsan Krishnan, Colby R. Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi:
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. CoRR abs/2205.05748 (2022) - [i35]Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Lyubing Qiang, Izzeddin Gur, Aleksandra Faust, Honglak Lee:
Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization. CoRR abs/2205.12648 (2022) - [i34]Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin V. Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, Aleksandra Faust:
Understanding HTML with Large Language Models. CoRR abs/2210.03945 (2022) - [i33]Abdus Salam Azad, Izzeddin Gur, Aleksandra Faust, Pieter Abbeel, Ion Stoica:
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning. CoRR abs/2210.10243 (2022) - [i32]Srivatsan Krishnan, Natasha Jaques, Shayegan Omidshafiei, Dan Zhang, Izzeddin Gur, Vijay Janapa Reddi, Aleksandra Faust:
Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration. CoRR abs/2211.16385 (2022) - [i31]Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Becca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine:
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. CoRR abs/2212.11419 (2022) - 2021
- [j12]Hao-Tien Lewis Chiang, John E. G. Baxter, Satomi Sugaya, Mohammad R. Yousefi, Aleksandra Faust, Lydia Tapia:
Fast deep swept volume estimator. Int. J. Robotics Res. 40(10-11) (2021) - [j11]Srivatsan Krishnan, Behzad Boroujerdian, William Fu, Aleksandra Faust, Vijay Janapa Reddi:
Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation. Mach. Learn. 110(9): 2501-2540 (2021) - [j10]Varun Tolani, Somil Bansal, Aleksandra Faust, Claire J. Tomlin:
Visual Navigation Among Humans With Optimal Control as a Supervisor. IEEE Robotics Autom. Lett. 6(2): 2288-2295 (2021) - [j9]Laura Graesser, Aleksandra Faust, Hadas Kress-Gazit, Lydia Tapia, Risa Ulinski:
Gender Diversity of Conference Leadership [Women in Engineering]. IEEE Robotics Autom. Mag. 28(2): 126-130 (2021) - [j8]Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Bardienus Pieter Duisterhof, Brian Plancher, Kayvan Mansoorshahi, Marcelino Almeida, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi:
The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency. ACM Trans. Comput. Syst. 39(1-4): 3:1-3:44 (2021) - [c19]John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Quoc V. Le, Sergey Levine, Honglak Lee, Aleksandra Faust:
Evolving Reinforcement Learning Algorithms. ICLR 2021 - [c18]Bardienus Pieter Duisterhof, Srivatsan Krishnan, Jonathan J. Cruz, Colby R. Banbury, William Fu, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi:
Tiny Robot Learning (tinyRL) for Source Seeking on a Nano Quadcopter. ICRA 2021: 7242-7248 - [c17]Felipe Felix Arias, Brian Ichter, Aleksandra Faust, Nancy M. Amato:
Avoidance Critical Probabilistic Roadmaps for Motion Planning in Dynamic Environments. ICRA 2021: 10264-10270 - [c16]Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust:
Environment Generation for Zero-Shot Compositional Reinforcement Learning. NeurIPS 2021: 4157-4169 - [c15]J. Chase Kew, Brian Ichter, Maryam Bandari, Tsang-Wei Edward Lee, Aleksandra Faust:
Neural Collision Clearance Estimator for Batched Motion Planning. WAFR 2021: 73-89 - [e1]Aleksandra Faust, David Hsu, Gerhard Neumann:
Conference on Robot Learning, 8-11 November 2021, London, UK. Proceedings of Machine Learning Research 164, PMLR 2021 [contents] - [i30]John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Sergey Levine, Quoc V. Le, Honglak Lee, Aleksandra Faust:
Evolving Reinforcement Learning Algorithms. CoRR abs/2101.03958 (2021) - [i29]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi:
Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots. CoRR abs/2102.02988 (2021) - [i28]Izzeddin Gur, Natasha Jaques, Kevin Malta, Manoj Tiwari, Honglak Lee, Aleksandra Faust:
Adversarial Environment Generation for Learning to Navigate the Web. CoRR abs/2103.01991 (2021) - [i27]Dennis Lee, Natasha Jaques, J. Chase Kew, Douglas Eck, Dale Schuurmans, Aleksandra Faust:
Joint Attention for Multi-Agent Coordination and Social Learning. CoRR abs/2104.07750 (2021) - [i26]Yingjie Miao, Xingyou Song, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust:
RL-DARTS: Differentiable Architecture Search for Reinforcement Learning. CoRR abs/2106.02229 (2021) - [i25]Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust:
Multi-Task Learning with Sequence-Conditioned Transporter Networks. CoRR abs/2109.07578 (2021) - [i24]Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson:
Less is More: Generating Grounded Navigation Instructions from Landmarks. CoRR abs/2111.12872 (2021) - [i23]Sampada Deglurkar, Michael H. Lim, Johnathan Tucker, Zachary N. Sunberg, Aleksandra Faust, Claire J. Tomlin:
Visual Learning-based Planning for Continuous High-Dimensional POMDPs. CoRR abs/2112.09456 (2021) - 2020
- [j7]Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi:
The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines. IEEE Comput. Archit. Lett. 19(1): 38-42 (2020) - [j6]Anthony G. Francis, Aleksandra Faust, Hao-Tien Lewis Chiang, Jasmine Hsu, J. Chase Kew, Marek Fiser, Tsang-Wei Edward Lee:
Long-Range Indoor Navigation With PRM-RL. IEEE Trans. Robotics 36(4): 1115-1134 (2020) - [c14]Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust:
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous. CoRL 2020: 711-725 - [c13]Yinlam Chow, Ofir Nachum, Aleksandra Faust, Edgar A. Duéñez-Guzmán, Mohammad Ghavamzadeh:
Safe Policy Learning for Continuous Control. CoRL 2020: 801-821 - [c12]Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha:
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. ICRA 2020: 679-685 - [c11]Brian Ichter, Edward Schmerling, Tsang-Wei Edward Lee, Aleksandra Faust:
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning. ICRA 2020: 9535-9541 - [i22]Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust:
Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation. CoRR abs/2003.06906 (2020) - [i21]Varun Tolani, Somil Bansal, Aleksandra Faust, Claire J. Tomlin:
Visual Navigation Among Humans with Optimal Control as a Supervisor. CoRR abs/2003.09354 (2020)
2010 – 2019
- 2019
- [j5]Hao-Tien Lewis Chiang, Aleksandra Faust, Marek Fiser, Anthony G. Francis:
Learning Navigation Behaviors End-to-End With AutoRL. IEEE Robotics Autom. Lett. 4(2): 2007-2014 (2019) - [j4]Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser, Lydia Tapia, Aleksandra Faust:
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators From RL Policies. IEEE Robotics Autom. Lett. 4(4): 4298-4305 (2019) - [c10]Izzeddin Gur, Ulrich Rückert, Aleksandra Faust, Dilek Hakkani-Tür:
Learning to Navigate the Web. ICLR (Poster) 2019 - [c9]Arpit Garg, Hao-Tien Lewis Chiang, Satomi Sugaya, Aleksandra Faust, Lydia Tapia:
Comparison of Deep Reinforcement Learning Policies to Formal Methods for Moving Obstacle Avoidance. IROS 2019: 3534-3541 - [i20]Yinlam Chow, Ofir Nachum, Aleksandra Faust, Mohammad Ghavamzadeh, Edgar A. Duéñez-Guzmán:
Lyapunov-based Safe Policy Optimization for Continuous Control. CoRR abs/1901.10031 (2019) - [i19]Anthony G. Francis, Aleksandra Faust, Hao-Tien Lewis Chiang, Jasmine Hsu, J. Chase Kew, Marek Fiser, Tsang-Wei Edward Lee:
Long-Range Indoor Navigation with PRM-RL. CoRR abs/1902.09458 (2019) - [i18]Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Wenzhi Cui, Marcelino Almeida, Kayvan Mansoorshahi, Aleksandra Faust, Vijay Janapa Reddi:
MAVBench: Micro Aerial Vehicle Benchmarking. CoRR abs/1905.06388 (2019) - [i17]Aleksandra Faust, Anthony G. Francis, Dar Mehta:
Evolving Rewards to Automate Reinforcement Learning. CoRR abs/1905.07628 (2019) - [i16]Srivatsan Krishnan, Behzad Boroujerdian, William Fu, Aleksandra Faust, Vijay Janapa Reddi:
Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots. CoRR abs/1906.00421 (2019) - [i15]Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Bardienus Pieter Duisterhof, Brian Plancher, Kayvan Mansoorshahi, Marcelino Almeida, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi:
The Role of Compute in Autonomous Aerial Vehicles. CoRR abs/1906.10513 (2019) - [i14]Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser, Lydia Tapia, Aleksandra Faust:
RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies. CoRR abs/1907.04799 (2019) - [i13]Bardienus Pieter Duisterhof, Srivatsan Krishnan, Jonathan J. Cruz, Colby R. Banbury, William Fu, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi:
Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller. CoRR abs/1909.11236 (2019) - [i12]Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha:
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. CoRR abs/1909.12971 (2019) - [i11]Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Wan, Aleksandra Faust, Vijay Janapa Reddi:
Quantized Reinforcement Learning (QUARL). CoRR abs/1910.01055 (2019) - [i10]Brian Ichter, Edward Schmerling, Tsang-Wei Edward Lee, Aleksandra Faust:
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning. CoRR abs/1910.03701 (2019) - [i9]J. Chase Kew, Brian Ichter, Maryam Bandari, Tsang-Wei Edward Lee, Aleksandra Faust:
Neural Collision Clearance Estimator for Fast Robot Motion Planning. CoRR abs/1910.05917 (2019) - 2018
- [j3]Arash Ajoudani, Aleksandra Faust:
Getting Involved for a Rewarding Experience [Young Professionals]. IEEE Robotics Autom. Mag. 25(3): 108-116 (2018) - [c8]Aleksandra Faust, James B. Aimone, Conrad D. James, Lydia Tapia:
Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting. CDC 2018: 5999-6006 - [c7]Aleksandra Faust, Kenneth Oslund, Oscar Ramirez, Anthony G. Francis, Lydia Tapia, Marek Fiser, James Davidson:
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-Based Planning. ICRA 2018: 5113-5120 - [c6]Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi:
MAVBench: Micro Aerial Vehicle Benchmarking. MICRO 2018: 894-907 - [c5]Hao-Tien Lewis Chiang, Aleksandra Faust, Satomi Sugaya, Lydia Tapia:
Fast Swept Volume Estimation with Deep Learning. WAFR 2018: 52-68 - [i8]Pararth Shah, Marek Fiser, Aleksandra Faust, J. Chase Kew, Dilek Hakkani-Tür:
FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning. CoRR abs/1805.06150 (2018) - [i7]Hao-Tien Lewis Chiang, Aleksandra Faust, Lydia Tapia:
Deep Neural Networks for Swept Volume Prediction Between Configurations. CoRR abs/1805.11597 (2018) - [i6]Lazar Supic, Rawan Naous, Ranko Sredojevic, Aleksandra Faust, Vladimir Stojanovic:
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression. CoRR abs/1805.12085 (2018) - [i5]Aleksandra Faust, James B. Aimone, Conrad D. James, Lydia Tapia:
Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting. CoRR abs/1809.09261 (2018) - [i4]Hao-Tien Lewis Chiang, Aleksandra Faust, Marek Fiser, Anthony G. Francis:
Learning Navigation Behaviors End to End. CoRR abs/1809.10124 (2018) - [i3]Aleksandra Faust, Hao-Tien Lewis Chiang, Lydia Tapia:
PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning. CoRR abs/1811.12651 (2018) - [i2]Izzeddin Gur, Ulrich Rückert, Aleksandra Faust, Dilek Hakkani-Tür:
Learning to Navigate the Web. CoRR abs/1812.09195 (2018) - 2017
- [j2]Aleksandra Faust, Ivana Palunko, Patricio Cruz, Rafael Fierro, Lydia Tapia:
Automated aerial suspended cargo delivery through reinforcement learning. Artif. Intell. 247: 381-398 (2017) - [i1]Aleksandra Faust, Oscar Ramirez, Marek Fiser, Kenneth Oslund, Anthony G. Francis, James Davidson, Lydia Tapia:
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning. CoRR abs/1710.03937 (2017) - 2016
- [c4]Aleksandra Faust, Hao-Tien Chiang, Nathanael Rackley, Lydia Tapia:
Avoiding moving obstacles with stochastic hybrid dynamics using PEARL: PrEference Appraisal Reinforcement Learning. ICRA 2016: 484-490 - 2015
- [j1]Aleksandra Faust:
Reinforcement learning and planning for preference balancing tasks. AI Matters 1(3): 8-12 (2015) - [c3]Aleksandra Faust, Nick Malone, Lydia Tapia:
Preference-balancing motion planning under stochastic disturbances. ICRA 2015: 3555-3562 - 2013
- [c2]Ivana Palunko, Aleksandra Faust, Patricio Cruz, Lydia Tapia, Rafael Fierro:
A reinforcement learning approach towards autonomous suspended load manipulation using aerial robots. ICRA 2013: 4896-4901 - [c1]Aleksandra Faust, Ivana Palunko, Patricio Cruz, Rafael Fierro, Lydia Tapia:
Learning swing-free trajectories for UAVs with a suspended load. ICRA 2013: 4902-4909
Coauthor Index
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