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Hierarchical subtask discovery with non-negative matrix factorization

Author: Earle, AC ; Saxe, AM ; Rosman, Benjamin S Date: Aug 2017 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. ... Read more
Hierarchy through composition with multitask LMDPs

Author: Saxe, AM ; Earle, AC ; Rosman, Benjamin S Date: Aug 2017 Hierarchical architectures are critical to the scalability of reinforcement learning methods. Most current hierarchical frameworks execute actions serially, with macro-actions comprising sequences of primitive actions. We propose a novel ... Read more

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Browsing by Subject "Hierarchies"

Browsing by Subject "Hierarchies"

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