Uri Sherman

Convergence and Sample Complexity of First-Order Methods for Agnostic Reinforcement Learning

2025 · arXiv (Cornell University)

We study reinforcement learning (RL) in the agnostic policy learning setting, where the goal is to find a policy whose performance is competitive with the best policy in a given class of interest $Π$ -- …