| Backprop kf: Learning discriminative deterministic state estimators T Haarnoja, A Ajay, S Levine, P Abbeel Advances in neural information processing systems 29, 2016 | 188 | 2016 |
| Augmenting physical simulators with stochastic neural networks: Case study of planar pushing and bouncing A Ajay, J Wu, N Fazeli, M Bauza, LP Kaelbling, JB Tenenbaum, ... 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 104 | 2018 |
| Offline Primitive Discovery for Accelerating Data-Driven Reinforcement Learning A Ajay, A Kumar, P Agrawal, S Levine, O Nachum | 91* | 2021 |
| Combining physical simulators and object-based networks for control A Ajay, M Bauza, J Wu, N Fazeli, JB Tenenbaum, A Rodriguez, ... 2019 International Conference on Robotics and Automation (ICRA), 3217-3223, 2019 | 45 | 2019 |
| Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states W Montgomery, A Ajay, C Finn, P Abbeel, S Levine 2017 IEEE International Conference on Robotics and Automation (ICRA), 3373-3380, 2017 | 40 | 2017 |
| Learning to navigate endoscopic capsule robots M Turan, Y Almalioglu, HB Gilbert, F Mahmood, NJ Durr, H Araujo, ... IEEE Robotics and Automation Letters 4 (3), 3075-3082, 2019 | 20 | 2019 |
| Offline rl policies should be trained to be adaptive D Ghosh, A Ajay, P Agrawal, S Levine International Conference on Machine Learning, 7513-7530, 2022 | 9 | 2022 |
| Long-horizon prediction and uncertainty propagation with residual point contact learners N Fazeli, A Ajay, A Rodriguez 2020 IEEE International Conference on Robotics and Automation (ICRA), 7898-7904, 2020 | 8 | 2020 |
| Overcoming the spectral bias of neural value approximation G Yang, A Ajay, P Agrawal arXiv preprint arXiv:2206.04672, 2022 | 6 | 2022 |
| Is Conditional Generative Modeling all you need for Decision-Making? A Ajay, Y Du, A Gupta, J Tenenbaum, T Jaakkola, P Agrawal arXiv preprint arXiv:2211.15657, 2022 | 4 | 2022 |
| Distributionally Adaptive Meta Reinforcement Learning A Ajay, A Gupta, D Ghosh, S Levine, P Agrawal arXiv preprint arXiv:2210.03104, 2022 | 3 | 2022 |
| Statistical Learning under Heterogenous Distribution Shift M Simchowitz, A Ajay, P Agrawal, A Krishnamurthy arXiv preprint arXiv:2302.13934, 2023 | | 2023 |
| Augmenting physics simulators with neural networks for model learning and control A Ajay Massachusetts Institute of Technology, 2019 | | 2019 |
| Understanding the Generalization Gap in Visual Reinforcement Learning A Ajay, G Yang, O Nachum, P Agrawal | | |
Sergey LevineUC Berkeley, GoogleVerified email at eecs.berkeley.edu
