Mirror Descent Policy Optimization M Tomar, L Shani, Y Efroni, M Ghavamzadeh ICLR 2022, arXiv preprint arXiv:2005.09814, 2020 | 59 | 2020 |
Successor Options: An Option Discovery Framework for Reinforcement Learning R Ramesh*, M Tomar*, B Ravindran IJCAI 2019, arXiv preprint arXiv:1905.05731, 2019 | 37 | 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 | 21 | 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 | 11 | 2022 |
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 | 11 | 2021 |
Multi-step Greedy Reinforcement Learning Algorithms M Tomar*, Y Efroni*, M Ghavamzadeh ICML 2020, arXiv preprint arXiv:1910.02919, 2020 | 11 | 2020 |
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, ... arXiv preprint arXiv:2309.13041, 2023 | 9 | 2023 |
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 |
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 | 2 | 2023 |
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 | 2 | 2022 |
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 | 1 | 2023 |
Learning Minimal Representations with Model Invariance M Tomar, A Zhang, ME Taylor | | 2021 |