Manan Tomar

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Eligibility Traces

Reinforcement Learning

Multiple Representations

Top Venues

Publications

Philippe Hansen-Estruch, Sriram Vishwanath, Amy Zhang, Manan Tomar
Unified Auto-Encoding with Masked Diffusion. CoRR (2024)
Abhishek Naik, Yi Wan, Manan Tomar, Richard S. Sutton
Reward Centering. CoRR (2024)
Chethan Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar
Robotic Offline RL from Internet Videos via Value-Function Learning. ICRA (2024)
Manan Tomar, Philippe Hansen-Estruch, Philip Bachman, Alex Lamb, John Langford, Matthew E. Taylor, Sergey Levine
Video Occupancy Models. CoRR (2024)
Riashat Islam, Hongyu Zang, Manan Tomar, Aniket Didolkar, Md Mofijul Islam, Samin Yeasar Arnob, Tariq Iqbal, Xin Li, Anirudh Goyal, Nicolas Heess, Alex Lamb
Representation Learning in Deep RL via Discrete Information Bottleneck. AISTATS (2023)
Manan Tomar, Utkarsh A. Mishra, Amy Zhang, Matthew E. Taylor
Learning Representations for Pixel-based Control: What Matters and Why? Trans. Mach. Learn. Res. 2023 (2023)
Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Rajiv Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
Principled Offline RL in the Presence of Rich Exogenous Information. ICML (2023)
Manan Tomar, Riashat Islam, Sergey Levine, Philip Bachman
Ignorance is Bliss: Robust Control via Information Gating. CoRR (2023)
Chethan Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar
Robotic Offline RL from Internet Videos via Value-Function Pre-Training. CoRR (2023)
Manan Tomar, Riashat Islam, Matthew E. Taylor, Sergey Levine, Philip Bachman
Ignorance is Bliss: Robust Control via Information Gating. NeurIPS (2023)
Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh
Mirror Descent Policy Optimization. ICLR (2022)
Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford
Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information. CoRR (2022)
Riashat Islam, Hongyu Zang, Manan Tomar, Aniket Didolkar, Md Mofijul Islam, Samin Yeasar Arnob, Tariq Iqbal, Xin Li, Anirudh Goyal, Nicolas Heess, Alex Lamb
Representation Learning in Deep RL via Discrete Information Bottleneck. CoRR (2022)
Manan Tomar, Amy Zhang, Roberto Calandra, Matthew E. Taylor, Joelle Pineau
Model-Invariant State Abstractions for Model-Based Reinforcement Learning. CoRR (2021)
Manan Tomar, Utkarsh A. Mishra, Amy Zhang, Matthew E. Taylor
Learning Representations for Pixel-based Control: What Matters and Why? CoRR (2021)
Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh
Mirror Descent Policy Optimization. CoRR (2020)
Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh
Multi-step Greedy Reinforcement Learning Algorithms. ICML (2020)
Rahul Ramesh, Manan Tomar, Balaraman Ravindran
Successor Options: An Option Discovery Framework for Reinforcement Learning. IJCAI (2019)
Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh
Multi-step Greedy Policies in Model-Free Deep Reinforcement Learning. CoRR (2019)
Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. AAMAS (2019)
Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. AAAI (2019)
Rahul Ramesh, Manan Tomar, Balaraman Ravindran
Successor Options: An Option Discovery Framework for Reinforcement Learning. CoRR (2019)
Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. CoRR (2019)