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Manan Tomar
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2020 – today
- 2024
- [c9]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: 16977-16984 - [i13]Abhishek Naik, Yi Wan, Manan Tomar, Richard S. Sutton:
Reward Centering. CoRR abs/2405.09999 (2024) - [i12]Philippe Hansen-Estruch, Sriram Vishwanath, Amy Zhang, Manan Tomar:
Unified Auto-Encoding with Masked Diffusion. CoRR abs/2406.17688 (2024) - [i11]Manan Tomar, Philippe Hansen-Estruch, Philip Bachman, Alex Lamb, John Langford, Matthew E. Taylor, Sergey Levine:
Video Occupancy Models. CoRR abs/2407.09533 (2024) - 2023
- [j1]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) - [c8]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: 8699-8722 - [c7]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: 14390-14421 - [c6]Manan Tomar, Riashat Islam, Matthew E. Taylor, Sergey Levine, Philip Bachman:
Ignorance is Bliss: Robust Control via Information Gating. NeurIPS 2023 - [i10]Manan Tomar, Riashat Islam, Sergey Levine, Philip Bachman:
Ignorance is Bliss: Robust Control via Information Gating. CoRR abs/2303.06121 (2023) - [i9]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 abs/2309.13041 (2023) - 2022
- [c5]Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh:
Mirror Descent Policy Optimization. ICLR 2022 - [i8]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 abs/2211.00164 (2022) - [i7]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 abs/2212.13835 (2022) - 2021
- [i6]Manan Tomar, Amy Zhang, Roberto Calandra, Matthew E. Taylor, Joelle Pineau:
Model-Invariant State Abstractions for Model-Based Reinforcement Learning. CoRR abs/2102.09850 (2021) - [i5]Manan Tomar, Utkarsh A. Mishra, Amy Zhang, Matthew E. Taylor:
Learning Representations for Pixel-based Control: What Matters and Why? CoRR abs/2111.07775 (2021) - 2020
- [c4]Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh:
Multi-step Greedy Reinforcement Learning Algorithms. ICML 2020: 9504-9513 - [i4]Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh:
Mirror Descent Policy Optimization. CoRR abs/2005.09814 (2020)
2010 – 2019
- 2019
- [c3]Manan Tomar, Akhil Sathuluri, Balaraman Ravindran:
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. AAAI 2019: 10053-10054 - [c2]Manan Tomar, Akhil Sathuluri, Balaraman Ravindran:
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. AAMAS 2019: 2226-2228 - [c1]Rahul Ramesh, Manan Tomar, Balaraman Ravindran:
Successor Options: An Option Discovery Framework for Reinforcement Learning. IJCAI 2019: 3304-3310 - [i3]Rahul Ramesh, Manan Tomar, Balaraman Ravindran:
Successor Options: An Option Discovery Framework for Reinforcement Learning. CoRR abs/1905.05731 (2019) - [i2]Manan Tomar, Akhil Sathuluri, Balaraman Ravindran:
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. CoRR abs/1905.07193 (2019) - [i1]Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh:
Multi-step Greedy Policies in Model-Free Deep Reinforcement Learning. CoRR abs/1910.02919 (2019)
Coauthor Index
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last updated on 2024-10-07 02:28 CEST by the dblp team
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