Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation

Andrea Zanette, Ching-An Cheng, Alekh Agarwal

Abstract: Policy optimization methods are popular reinforcement learning (RL) algorithms, because their incremental and on-policy nature makes them more stable than the value-based counterparts. However, the...