Second-Order Actor-Critic Methods for Discounted MDPs via Policy Hessian Decomposition

Sanjeev Manivannan, Shuban V

We address the discounted reward setting in reinforcement learning (RL). To mitigate the value approximation challenges in policy gradient methods, actor-critic approaches have bee…