Publications

Learning Minimal Representations with Model Invariance. Manan Tomar, Amy Zhang, Matthew E. Taylor. Pre-print.

Learning Representations for Pixel-based Control: What Matters and Why?. Manan Tomar*, Utkarsh A. Mishra*, Amy Zhang, Matthew E. Taylor. Pre-print; RLDM 2022.

Model-Invariant State Abstractions for Model-based Reinforcement Learning. Manan Tomar, Amy Zhang, Roberto Calandra, Matthew E. Taylor, Joelle Pineau. Pre-print; Spotlight at Sparsity in Neural Networks workshop.

Mirror Descent Policy Optimization. Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh. ICLR 2022; Contributed talk at the DeepRL NeurIPS 2020 workshop.

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

Successor Options : An Option Discovery Algorithm for Reinforcement Learning. Rahul Ramesh*, Manan Tomar*, Balaraman Ravindran. IJCAI 2019.

MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. Manan Tomar, Akhil Sathuluri, Balaraman Ravindran. AAMAS 2019.