Learn to Effectively Explore in Context-Based Meta-RL
Abstract:
Meta reinforcement learning (meta-RL) provides a principled approach for fast adaptation to novel tasks by extracting prior knowledge from previous tasks. Under such settings, it is crucial for the agent to perform efficient exploration during adaptation to collect useful experiences. However, existing methods suffer from poor adaptatio...More
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