PODS: Policy Optimization via Differentiable Simulation

Miguel Zamora, Momchil Peychev, Sehoon Ha, Martin T. Vechev, Stelian Coros

Abstract: Current reinforcement learning (RL) methods use simulation models as simple black-box oracles. In this paper, with the goal of improving the performance exhibited by RL algorithms, we explore a sys...