| Mirror Descent Policy Optimization M Tomar, L Shani, Y Efroni, M Ghavamzadeh ICLR 2022, arXiv preprint arXiv:2005.09814, 2020 | 76 | 2020 |
| Successor Options: An Option Discovery Framework for Reinforcement Learning R Ramesh*, M Tomar*, B Ravindran IJCAI 2019, arXiv preprint arXiv:1905.05731, 2019 | 43 | 2019 |
| Model-invariant State Abstractions for Model-based Reinforcement Learning M Tomar, A Zhang, R Calandra, ME Taylor, J Pineau Spotlight at Sparsity in Neural Networks Workshop 2021, arXiv preprint arXiv …, 2021 | 27 | 2021 |
| Robotic Offline RL from Internet Videos via Value-function Pre-training C Bhateja, D Guo, D Ghosh, A Singh, M Tomar, Q Vuong, Y Chebotar, ... ICRA 2024, arXiv preprint arXiv:2309.13041, 2023 | 20 | 2023 |
| Learning Representations for Pixel-based Control: What Matters and Why? M Tomar*, UA Mishra*, A Zhang, ME Taylor TMLR 2022, arXiv preprint arXiv:2111.07775, 2021 | 20 | 2021 |
| Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information R Islam*, M Tomar*, A Lamb, Y Efroni, H Zang, A Didolkar, D Misra, X Li, ... ICML 2023, arXiv preprint arXiv:2211.00164, 2022 | 16 | 2022 |
| Multi-step Greedy Reinforcement Learning Algorithms M Tomar*, Y Efroni*, M Ghavamzadeh ICML 2020, arXiv preprint arXiv:1910.02919, 2020 | 15* | 2020 |
| Ignorance is Bliss: Robust Control via Information Gating M Tomar, R Islam, ME Taylor, S Levine, P Bachman NeurIPS 2023, arXiv preprint arXiv:2303.06121, 2023 | 9 | 2023 |
| Reward Centering A Naik, Y Wan, M Tomar, RS Sutton RLC 2024, arXiv preprint arXiv:2405.09999, 2024 | 7 | 2024 |
| Representation Learning in Deep RL via Discrete Information Bottleneck R Islam, H Zang, M Tomar, A Didolkar, MM Islam, SY Arnob, T Iqbal, X Li, ... AISTATS 2023, arXiv preprint arXiv:2212.13835, 2022 | 6 | 2022 |
| MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning M Tomar, A Sathuluri, B Ravindran AAMAS 2019, arXiv preprint arXiv:1905.07193, 2019 | 5 | 2019 |
| Video-Guided Skill Discovery M Tomar, D Ghosh, V Myers, A Dragan, ME Taylor, P Bachman, S Levine ICML 2023 Workshop The Many Facets of Preference-Based Learning, 2023 | 2 | 2023 |
| Learning to Achieve Goals with Belief State Transformers ES Hu, K Ahn, Q Liu, H Xu, M Tomar, A Langford, D Jayaraman, A Lamb, ... arXiv preprint arXiv:2410.23506, 2024 | 1 | 2024 |
| Video Occupancy Models M Tomar, P Hansen-Estruch, P Bachman, A Lamb, J Langford, ME Taylor, ... arXiv preprint arXiv:2407.09533, 2024 | 1 | 2024 |
| Unified Auto-Encoding with Masked Diffusion P Hansen-Estruch, S Vishwanath, A Zhang, M Tomar arXiv preprint arXiv:2406.17688, 2024 | | 2024 |
| Learning Minimal Representations with Model Invariance M Tomar, A Zhang, ME Taylor | | |
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