Deep Robust Reinforcement Learning and Regularization

Deep Robust Reinforcement Learning and Regularization

Explore deep robust reinforcement learning and regularization in this 31-minute lecture by Shie Mannor from Technion. Delve into classical reinforcement learning concepts before examining the meaning of robustness and three types of uncertainties. Investigate planning with parameter uncertainty, robust MDPs, and robust policy evaluation. Learn about action robustness, posterior uncertainty sets, and the uncertainty robust Bellman equation. Conclude with insights on deep learning approximation in the context of robust reinforcement learning.