MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. - Manan Tomar; Akhil Sathuluri; Balaraman Ravindran (AAAI, 2019)

Successor Options: An Option Discovery Framework for Reinforcement Learning. - Rahul Ramesh; Manan Tomar; Balaraman Ravindran (IJCAI, 2019)

Multi-step Greedy Policies in Model-Free Deep Reinforcement Learning. - Manan Tomar; Yonathan Efroni; Mohammad Ghavamzadeh (CoRR, 2019)

Multi-step Greedy Reinforcement Learning Algorithms. - Manan Tomar; Yonathan Efroni; Mohammad Ghavamzadeh (ICML, 2020)

Model-Invariant State Abstractions for Model-Based Reinforcement Learning. - Manan Tomar; Amy Zhang 001; Roberto Calandra; Matthew E. Taylor; Joelle Pineau (CoRR, 2021)

Mirror Descent Policy Optimization. - Manan Tomar; Lior Shani; Yonathan Efroni; Mohammad Ghavamzadeh (ICLR, 2022)

Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information. - Riashat Islam; Manan Tomar; Alex Lamb; Yonathan Efroni; Hongyu Zang; Aniket Didolkar; Dipendra Misra; Xin Li 033; Harm van Seijen; Remi Tachet des Combes; John Langford 001 (CoRR, 2022)

Representation Learning in Deep RL via Discrete Information Bottleneck. - Riashat Islam; Hongyu Zang; Manan Tomar; Aniket Didolkar; Md Mofijul Islam; Samin Yeasar Arnob; Tariq Iqbal; Xin Li 033; Anirudh Goyal; Nicolas Heess; Alex Lamb (AISTATS, 2023)

Principled Offline RL in the Presence of Rich Exogenous Information. - Riashat Islam; Manan Tomar; Alex Lamb; Yonathan Efroni; Hongyu Zang; Aniket Rajiv Didolkar; Dipendra Misra; Xin Li 033; Harm van Seijen; Remi Tachet des Combes; John Langford 001 (ICML, 2023)

Ignorance is Bliss: Robust Control via Information Gating. - Manan Tomar; Riashat Islam; Matthew E. Taylor; Sergey Levine; Philip Bachman (NeurIPS, 2023)

Ignorance is Bliss: Robust Control via Information Gating. - Manan Tomar; Riashat Islam; Sergey Levine; Philip Bachman (CoRR, 2023)

Robotic Offline RL from Internet Videos via Value-Function Pre-Training. - Chethan Bhateja; Derek Guo; Dibya Ghosh; Anikait Singh; Manan Tomar; Quan Vuong; Yevgen Chebotar; Sergey Levine; Aviral Kumar (CoRR, 2023)

Learning Representations for Pixel-based Control: What Matters and Why? - Manan Tomar; Utkarsh A. Mishra; Amy Zhang 001; Matthew E. Taylor (Trans. Mach. Learn. Res., 2023)

Robotic Offline RL from Internet Videos via Value-Function Learning. - Chethan Bhateja; Derek Guo; Dibya Ghosh; Anikait Singh; Manan Tomar; Quan Vuong; Yevgen Chebotar; Sergey Levine; Aviral Kumar (ICRA, 2024)

Reward Centering. - Abhishek Naik; Yi Wan 004; Manan Tomar; Richard S. Sutton (RLJ, 2024)

Unified Auto-Encoding with Masked Diffusion. - Philippe Hansen-Estruch; Sriram Vishwanath; Amy Zhang 001; Manan Tomar (CoRR, 2024)

Video Occupancy Models. - Manan Tomar; Philippe Hansen-Estruch; Philip Bachman; Alex Lamb; John Langford 001; Matthew E. Taylor; Sergey Levine (CoRR, 2024)

Learning to Achieve Goals with Belief State Transformers. - Edward S. Hu; Kwangjun Ahn; Qinghua Liu; Haoran Xu; Manan Tomar; Ada Langford; Dinesh Jayaraman; Alex Lamb; John Langford 001 (CoRR, 2024)

The Belief State Transformer. - Edward S. Hu; Kwangjun Ahn; Qinghua Liu; Haoran Xu; Manan Tomar; Ada Langford; Dinesh Jayaraman; Alex Lamb; John Langford 001 (ICLR, 2025)