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Adam C. Earle

2 accepted papers

2018

Hierarchical Subtask Discovery with Non-Negative Matrix Factorization

ICLR 2018poster

Hierarchical reinforcement learning methods offer a powerful means of planning flexible behavior in complicated domains. However, learning an appropriate hierarchical decomposition of a domain into subtasks remains a substantial challenge. We present a novel algorithm for subtask discovery, based on…

Cited by 12SourcePDFScholar