Manan Tomar - RankMe

27 papers A* 8A 2Journal 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Next-Latent Prediction Transformers Learn Compact World Models. CoRR Jayden Teoh, Manan Tomar, Kwangjun Ahn, Edward S. Hu, Pratyusha Sharma, Riashat Islam, Alex Lamb, John Langford
2025	A*	`conf`	The Belief State Transformer. ICLR Edward S. Hu, Kwangjun Ahn, Qinghua Liu, Haoran Xu, Manan Tomar, Ada Langford, Dinesh Jayaraman, Alex Lamb, John Langford
2024	J	`jnl`	Learning to Achieve Goals with Belief State Transformers. CoRR Edward S. Hu, Kwangjun Ahn, Qinghua Liu, Haoran Xu, Manan Tomar, Ada Langford, Dinesh Jayaraman, Alex Lamb, John Langford
2024	J	`jnl`	Reward Centering. RLJ Abhishek Naik, Yi Wan, Manan Tomar, Richard S. Sutton
2024	J	`jnl`	Reward Centering. CoRR Abhishek Naik, Yi Wan, Manan Tomar, Richard S. Sutton
2024	A*	`conf`	Robotic Offline RL from Internet Videos via Value-Function Learning. ICRA Chethan Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar
2024	J	`jnl`	Unified Auto-Encoding with Masked Diffusion. CoRR Philippe Hansen-Estruch, Sriram Vishwanath, Amy Zhang, Manan Tomar
2024	J	`jnl`	Video Occupancy Models. CoRR Manan Tomar, Philippe Hansen-Estruch, Philip Bachman, Alex Lamb, John Langford, Matthew E. Taylor, Sergey Levine
2023	A*	`conf`	Ignorance is Bliss: Robust Control via Information Gating. NeurIPS Manan Tomar, Riashat Islam, Matthew E. Taylor, Sergey Levine, Philip Bachman
2023	J	`jnl`	Ignorance is Bliss: Robust Control via Information Gating. CoRR Manan Tomar, Riashat Islam, Sergey Levine, Philip Bachman
2023	J	`jnl`	Learning Representations for Pixel-based Control: What Matters and Why? Trans. Mach. Learn. Res. Manan Tomar, Utkarsh A. Mishra, Amy Zhang, Matthew E. Taylor
2023	A*	`conf`	Principled Offline RL in the Presence of Rich Exogenous Information. ICML 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
2023	A	`conf`	Representation Learning in Deep RL via Discrete Information Bottleneck. AISTATS Riashat Islam, Hongyu Zang, Manan Tomar, Aniket Didolkar, Md Mofijul Islam, Samin Yeasar Arnob, Tariq Iqbal, Xin Li, Anirudh Goyal, Nicolas Heess, Alex Lamb
2023	J	`jnl`	Robotic Offline RL from Internet Videos via Value-Function Pre-Training. CoRR Chethan Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar
2022	J	`jnl`	Agent-Controller Representations: Principled Offline RL with Rich Exogenous Information. CoRR 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
2022	A*	`conf`	Mirror Descent Policy Optimization. ICLR Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh
2022	J	`jnl`	Representation Learning in Deep RL via Discrete Information Bottleneck. CoRR Riashat Islam, Hongyu Zang, Manan Tomar, Aniket Didolkar, Md Mofijul Islam, Samin Yeasar Arnob, Tariq Iqbal, Xin Li, Anirudh Goyal, Nicolas Heess, Alex Lamb
2021	J	`jnl`	Learning Representations for Pixel-based Control: What Matters and Why? CoRR Manan Tomar, Utkarsh A. Mishra, Amy Zhang, Matthew E. Taylor
2021	J	`jnl`	Model-Invariant State Abstractions for Model-Based Reinforcement Learning. CoRR Manan Tomar, Amy Zhang, Roberto Calandra, Matthew E. Taylor, Joelle Pineau
2020	J	`jnl`	Mirror Descent Policy Optimization. CoRR Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh
2020	A*	`conf`	Multi-step Greedy Reinforcement Learning Algorithms. ICML Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh
2019	A*	`conf`	MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. AAAI Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
2019	A	`conf`	MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. AAMAS Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
2019	J	`jnl`	MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. CoRR Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
2019	J	`jnl`	Multi-step Greedy Policies in Model-Free Deep Reinforcement Learning. CoRR Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh
2019	A*	`conf`	Successor Options: An Option Discovery Framework for Reinforcement Learning. IJCAI Rahul Ramesh, Manan Tomar, Balaraman Ravindran
2019	J	`jnl`	Successor Options: An Option Discovery Framework for Reinforcement Learning. CoRR Rahul Ramesh, Manan Tomar, Balaraman Ravindran