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- Proto-value_functions abstract "In applied mathematics, proto-value functions (PVFs) are automatically learned basis functions that are useful in approximating task-specific value functions, providing a compact representation of the powers of transition matrices. They provide a novel framework for solving the credit assignment problem. The framework introduces a novel approach to solving Markov decision processes (MDP) and reinforcement learning problems, using multiscale spectral and manifold learning methods. Proto-value functions are generated by spectral analysis of a graph, using the graph Laplacian.Proto-value functions were first introduced in the context of reinforcement learning by Sridhar Mahadevan in his paper, Proto-Value Functions: Developmental Reinforcement Learning at ICML 2005.".
- Proto-value_functions wikiPageID "34062598".
- Proto-value_functions wikiPageRevisionID "580732657".
- Proto-value_functions hasPhotoCollection Proto-value_functions.
- Proto-value_functions subject Category:Articles_needing_attention.
- Proto-value_functions subject Category:Spectral_theory.
- Proto-value_functions subject Category:Types_of_functions.
- Proto-value_functions comment "In applied mathematics, proto-value functions (PVFs) are automatically learned basis functions that are useful in approximating task-specific value functions, providing a compact representation of the powers of transition matrices. They provide a novel framework for solving the credit assignment problem. The framework introduces a novel approach to solving Markov decision processes (MDP) and reinforcement learning problems, using multiscale spectral and manifold learning methods.".
- Proto-value_functions label "Proto-value functions".
- Proto-value_functions sameAs m.0hrcbf4.
- Proto-value_functions sameAs Q7251875.
- Proto-value_functions sameAs Q7251875.
- Proto-value_functions wasDerivedFrom Proto-value_functions?oldid=580732657.
- Proto-value_functions isPrimaryTopicOf Proto-value_functions.