Action Robust Reinforcement Learning and Applications in Continuous Control

Action Robust is a special case of robustness, in which the agent is robust to uncertainty in the performed action. We show (theoretically) that this form of robustness has efficient solutions and (empirically) results in policies which are robust to common uncertainties in robotic domains.