Curriculum Goal-Conditioned Imitation for Offline Reinforcement Learning

Offline reinforcement learning (RL) enables learning policies from precollected datasets without online data collection. Although it offers the possibility to surpass the performance of the datasets, most existing offline RL algorithms struggle to compete with behavior cloning policies in many datas...

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