Manan Tomar

According to our database, Manan Tomar authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

Video Occupancy Models.

Manan Tomar, Philippe Hansen-Estruch, Philip Bachman, Alex Lamb, John Langford, Matthew E. Taylor, Sergey Levine

CoRR, 2024

Unified Auto-Encoding with Masked Diffusion.

Philippe Hansen-Estruch, Sriram Vishwanath, Amy Zhang, Manan Tomar

CoRR, 2024

Reward Centering.

Abhishek Naik, Yi Wan, Manan Tomar, Richard S. Sutton

RLJ, 2024

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Learning Representations for Pixel-based Control: What Matters and Why?

Manan Tomar, Utkarsh A. Mishra, Amy Zhang, Matthew E. Taylor

Trans. Mach. Learn. Res., 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

Ignorance is Bliss: Robust Control via Information Gating.

Manan Tomar, Riashat Islam, Sergey Levine, Philip Bachman

CoRR, 2023

Ignorance is Bliss: Robust Control via Information Gating.

Manan Tomar, Riashat Islam, Matthew E. Taylor, Sergey Levine, Philip Bachman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Harm van Seijen, Remi Tachet des Combes, John Langford

Proceedings of the International Conference on Machine Learning, 2023

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, Anirudh Goyal, Nicolas Heess, Alex Lamb

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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, Harm van Seijen, Remi Tachet des Combes, John Langford

CoRR, 2022

Mirror Descent Policy Optimization.

Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Model-Invariant State Abstractions for Model-Based Reinforcement Learning.

Manan Tomar, Amy Zhang, Roberto Calandra, Matthew E. Taylor, Joelle Pineau

CoRR, 2021

2020

Multi-step Greedy Reinforcement Learning Algorithms.

Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Multi-step Greedy Policies in Model-Free Deep Reinforcement Learning.

Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh

CoRR, 2019

Successor Options: An Option Discovery Framework for Reinforcement Learning.

Rahul Ramesh, Manan Tomar, Balaraman Ravindran

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning.

Manan Tomar, Akhil Sathuluri, Balaraman Ravindran

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019