AINeutralarXiv – CS AI · 9h ago6/10
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SUSD: Structured Unsupervised Skill Discovery through State Factorization
SUSD introduces a novel unsupervised skill discovery framework that factorizes state space into independent components to learn diverse, dynamic skills without extrinsic rewards. By allocating distinct skill variables to different environmental factors and using a dynamic model to guide exploration, SUSD achieves superior performance in discovering complex, compositional behaviors compared to existing MI-based and distance-maximizing approaches.