Backprop kf: Learning discriminative deterministic state estimators T Haarnoja, A Ajay, S Levine, P Abbeel
Advances in neural information processing systems 29, 2016
229 2016 Is Conditional Generative Modeling all you need for Decision Making? A Ajay, Y Du, A Gupta, J Tenenbaum, T Jaakkola, P Agrawal
International Conference on Learning Representations (ICLR), 𝐍𝐨𝐭𝐚𝐛𝐥𝐞-𝐭𝐨𝐩-𝟓%, 2023
188 2023 Offline Primitive Discovery for Accelerating Data-Driven Reinforcement Learning A Ajay, A Kumar, P Agrawal, S Levine, O Nachum
152 * 2021 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
132 2018 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
58 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
42 2017 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
28 2022 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
25 2019 Compositional Foundation Models for Hierarchical Planning A Ajay, S Han, Y Du, S Li, A Gupta, T Jaakkola, J Tenenbaum, L Kaelbling, ...
arXiv preprint arXiv:2309.08587, 2023
22 * 2023 Overcoming the spectral bias of neural value approximation G Yang, A Ajay, P Agrawal
arXiv preprint arXiv:2206.04672, 2022
16 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
11 2020 Distributionally Adaptive Meta Reinforcement Learning A Ajay, A Gupta, D Ghosh, S Levine, P Agrawal
arXiv preprint arXiv:2210.03104, 2022
10 2022 Statistical learning under heterogenous distribution shift M Simchowitz, A Ajay, P Agrawal, A Krishnamurthy
International Conference on Machine Learning, 31800-31851, 2023
4 2023 Learning skill hierarchies from predicate descriptions and self-supervision T Silver, R Chitnis, A Ajay, J Tenenbaum, LP Kaelbling
AAAI GenPlan Workshop, 2020
2 2020 Parallel -Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation Z Li, T Chen, ZW Hong, A Ajay, P Agrawal
International Conference on Machine Learning, 19440-19459, 2023
1 2023 Understanding the Generalization Gap in Visual Reinforcement Learning A Ajay, G Yang, O Nachum, P Agrawal
2021 Augmenting physics simulators with neural networks for model learning and control A Ajay
Massachusetts Institute of Technology, 2019
2019