Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction

21 Jun 2019Fengda ZhuXiaojun ChangRunhao ZengMingkui Tan

Deep reinforcement learning has made significant progress in the field of continuous control, such as physical control and autonomous driving. However, it is challenging for a reinforcement model to learn a policy for each task sequentially due to catastrophic forgetting... (read more)

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