Rethinking the Global Convergence of Softmax Policy Gradient with Linear Function Approximation

Max Qiushi Lin, Jincheng Mei, Matin Aghaei +6

Policy gradient (PG) methods have played an essential role in the empirical successes of reinforcement learning. In order to handle large state-action spaces, PG methods are typica…