2021
Stochastic Policy Optimization with Heuristic Information for Robot Learning
CoRL 2021poster
Stochastic policy-based deep reinforcement learning (RL) approaches have remarkably succeeded to deal with continuous control tasks. However, applying these methods to manipulation tasks remains a challenge since actuators of a robot manipulator require high dimensional continuous action spaces. In…