Assessing Generalization in Deep Reinforcement Learning

ICLR 2019 Charles PackerKatelyn GaoJernej KosPhilipp KrähenbühlVladlen KoltunDawn Song

Deep reinforcement learning (RL) has achieved breakthrough results on many tasks, but agents often fail to generalize beyond the environment they were trained in. As a result, deep RL algorithms that promote generalization are receiving increasing attention... (read more)

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