Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces

Daniel Levy, Stefano Ermon

Policy optimization methods have shown great promise in solving complex reinforcement and imitation learning tasks. While model-free methods are broadly applicable, they often requ…