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
275 2023 Backprop kf: Learning discriminative deterministic state estimators T Haarnoja, A Ajay, S Levine, P Abbeel
Advances in neural information processing systems 29, 2016
239 2016 Offline Primitive Discovery for Accelerating Data-Driven Reinforcement Learning A Ajay, A Kumar, P Agrawal, S Levine, O Nachum
170 * 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
143 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
62 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
44 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
43 2022 Openeqa: Embodied question answering in the era of foundation models A Majumdar, A Ajay, X Zhang, P Putta, S Yenamandra, M Henaff, S Silwal, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
39 2024 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
37 * 2023 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
29 2019 Overcoming the spectral bias of neural value approximation G Yang, A Ajay, P Agrawal
arXiv preprint arXiv:2206.04672, 2022
21 2022 An introduction to vision-language modeling F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ...
arXiv preprint arXiv:2405.17247, 2024
14 2024 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
13 2020 Distributionally Adaptive Meta Reinforcement Learning A Ajay, A Gupta, D Ghosh, S Levine, P Agrawal
arXiv preprint arXiv:2210.03104, 2022
11 2022 Statistical learning under heterogenous distribution shift M Simchowitz, A Ajay, P Agrawal, A Krishnamurthy
International Conference on Machine Learning, 31800-31851, 2023
5 2023 Parallel Z Li, T Chen, ZW Hong, A Ajay, P Agrawal
International Conference on Machine Learning, 19440-19459, 2023
3 2023 Learning Action Priors for Visuomotor transfer A Ajay, P Agrawal
International Conference on Machine Learning workshop on Inductive Biases …, 2020
2 2020 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 Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient Z Li, R Krohn, T Chen, A Ajay, P Agrawal, G Chalvatzaki
arXiv preprint arXiv:2406.00681, 2024
2024 Augmenting physics simulators with neural networks for model learning and control A Ajay
Massachusetts Institute of Technology, 2019
2019 
Joshua B. TenenbaumMITEmail confirmado em mit.edu
