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ContactExplorer: Contact Coverage-Guided Exploration for General-Purpose Dexterous Manipulation
Reinforcement learning explores effectively in domains such as Atari games, navigation, and locomotion, where novelty over states or dynamics is a sufficient signal. In contrast, dexterous manipulation requires rich physical hand--object interactions, but existing methods often suffer from unstable
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