Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies

Kaiqing Zhang, Alec Koppel, Hao Zhu +1

Policy gradient (PG) methods are a widely used reinforcement learning methodology in many applications such as video games, autonomous driving, and robotics. In spite of its empiri…