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Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization | OpenReview
Domain randomization (DR) is widely used in reinforcement learning (RL) to bridge the gap between simulation and reality by maximizing its average returns...
domain randomizationrelaxed staterevisitingviaadversarial