| RLlib: Abstractions for Distributed Reinforcement Learning E Liang*, R Liaw*, R Nishihara, P Moritz, R Fox, K Goldberg, J Gonzalez, ... 35th International Conference on Machine Learning (ICML), 2018 | 775 | 2018 |
| Taming the Noise in Reinforcement Learning via Soft Updates R Fox*, A Pakman*, N Tishby 32nd Conference on Uncertainty in Artificial Intelligence (UAI), 2016 | 323 | 2016 |
| DART: Noise Injection for Robust Imitation Learning M Laskey, J Lee, R Fox, A Dragan, K Goldberg 1st Conference on Robot Learning (CoRL), 2017 | 250 | 2017 |
| Ray RLlib: A Composable and Scalable Reinforcement Learning Library E Liang*, R Liaw*, R Nishihara, P Moritz, R Fox, J Gonzalez, K Goldberg, ... Deep Reinforcement Learning symposium (DeepRL @ NIPS), 2017 | 160 | 2017 |
| Multi-Level Discovery of Deep Options R Fox, S Krishnan, I Stoica, K Goldberg arXiv preprint arXiv:1703.08294, 2017 | 130 | 2017 |
| DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations S Krishnan*, R Fox*, I Stoica, K Goldberg 1st Conference on Robot Learning (CoRL), 2017 | 88 | 2017 |
| AutoPandas: Neural-Backed Generators for Program Synthesis R Bavishi, C Lemieux, R Fox, K Sen, I Stoica 10th ACM SIGPLAN Conference on Systems, Programming, Languages, and …, 2019 | 81 | 2019 |
| Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure D Seita, S Krishnan, R Fox, S McKinley, J Canny, K Goldberg 35th IEEE International Conference on Robotics and Automation (ICRA), 2018 | 70 | 2018 |
| Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games S McAleer*, JB Lanier*, R Fox, P Baldi 34th Conference on Neural Information Processing Systems (NeurIPS), 2020 | 59 | 2020 |
| XDO: A Double Oracle Algorithm for Extensive-Form Games S McAleer, JB Lanier, KA Wang, P Baldi, R Fox 35th Conference on Neural Information Processing Systems (NeurIPS), 2021 | 41 | 2021 |
| Independent Natural Policy Gradient Always Converges in Markov Potential Games R Fox, S McAleer, W Overman, I Panageas 25th International Conference on Artificial Intelligence and Statistics …, 2022 | 37 | 2022 |
| Parametrized Hierarchical Procedures for Neural Programming R Fox, R Shin, S Krishnan, K Goldberg, D Song, I Stoica 6th International Conference on Learning Representations (ICLR), 2018 | 32 | 2018 |
| Multi-Task Hierarchical Imitation Learning for Home Automation R Fox*, R Berenstein*, I Stoica, K Goldberg 15th IEEE Conference on Automation Science and Engineering (CASE), 2019 | 26 | 2019 |
| A Multi-Agent Control Framework for Co-Adaptation in Brain-Computer Interfaces J Merel*, R Fox*, T Jebara, L Paninski 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 | 24 | 2013 |
| Minimum-Information LQG Control — Part I: Memoryless Controllers R Fox, N Tishby 55th IEEE Conference on Decision and Control (CDC), 2016 | 19 | 2016 |
| Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling K Nottingham, P Ammanabrolu, A Suhr, Y Choi, H Hajishirzi, S Singh, ... 40th International Conference on Machine Learning (ICML), 2023 | 18 | 2023 |
| Statistical Data Cleaning for Deep Learning of Automation Tasks from Demonstrations C Chuck, M Laskey, S Krishnan, R Joshi, R Fox, K Goldberg 13th IEEE Conference on Automation Science and Engineering (CASE), 2017 | 15 | 2017 |
| Minimum-Information LQG Control — Part II: Retentive Controllers R Fox, N Tishby 55th IEEE Conference on Decision and Control (CDC), 2016 | 15 | 2016 |
| Principled Option Learning in Markov Decision Processes R Fox*, M Moshkovitz*, N Tishby 13th European Workshop on Reinforcement Learning (EWRL), 2016 | 15 | 2016 |
| A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks F Agostinelli, A Shmakov, S McAleer, R Fox, P Baldi arXiv preprint arXiv:2102.04518, 2021 | 14 | 2021 |
Ken GoldbergProfessor, UC Berkeley and UCSFVerified email at berkeley.edu
