36 citations · 176 across the 39 of their papers we have counts for
3 papers · 1 filter
Improved Policy Optimization for Online Imitation Learning
Jonathan Wilder Lavington, Sharan Vaswani, Mark Schmidt
We consider online imitation learning (OIL), where the task is to find a policy that imitates the behavior of an expert via active interaction with the environment. We aim to bridg…
Near-Optimal Sample Complexity Bounds for Constrained MDPs
Sharan Vaswani, Lin F. Yang, Csaba Szepesvári
In contrast to the advances in characterizing the sample complexity for solving Markov decision processes (MDPs), the optimal statistical complexity for solving constrained MDPs (C…
Towards Painless Policy Optimization for Constrained MDPs
Arushi Jain, Sharan Vaswani, Reza Babanezhad +2
We study policy optimization in an infinite horizon, -discounted constrained Markov decision process (CMDP). Our objective is to return a policy that achieves large expected rew…