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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 wikiPageLength "7606".
- Proto-value_functions wikiPageOutDegree "32".
- Proto-value_functions wikiPageRevisionID "618725169".
- Proto-value_functions wikiPageWikiLink Adjacency_matrix.
- Proto-value_functions wikiPageWikiLink Applied_mathematics.
- Proto-value_functions wikiPageWikiLink Assignment_problem.
- Proto-value_functions wikiPageWikiLink Basis_function.
- Proto-value_functions wikiPageWikiLink Category:Spectral_theory.
- Proto-value_functions wikiPageWikiLink Category:Types_of_functions.
- Proto-value_functions wikiPageWikiLink Cerebellar_model_articulation_controller.
- Proto-value_functions wikiPageWikiLink Degree_matrix.
- Proto-value_functions wikiPageWikiLink Eigenfunction.
- Proto-value_functions wikiPageWikiLink Eigenvalues_and_eigenvectors.
- Proto-value_functions wikiPageWikiLink Function_approximation.
- Proto-value_functions wikiPageWikiLink Gramian_matrix.
- Proto-value_functions wikiPageWikiLink International_Conference_on_Machine_Learning.
- Proto-value_functions wikiPageWikiLink Laplacian_matrix.
- Proto-value_functions wikiPageWikiLink Markov_decision_process.
- Proto-value_functions wikiPageWikiLink Nonlinear_dimensionality_reduction.
- Proto-value_functions wikiPageWikiLink Radial_basis_function.
- Proto-value_functions wikiPageWikiLink Reinforcement_learning.
- Proto-value_functions wikiPageWikiLink Self-adjoint_operator.
- Proto-value_functions wikiPageWikiLink Spectral_graph_theory.
- Proto-value_functions wikiPageUsesTemplate Template:Orphan.
- Proto-value_functions wikiPageUsesTemplate Template:Reflist.
- Proto-value_functions subject Category:Spectral_theory.
- Proto-value_functions subject Category:Types_of_functions.
- Proto-value_functions type Type.
- Proto-value_functions type Algebra.
- Proto-value_functions type Function.
- Proto-value_functions type Type.
- 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 Q7251875.
- Proto-value_functions sameAs m.0hrcbf4.
- Proto-value_functions sameAs Q7251875.
- Proto-value_functions wasDerivedFrom Proto-value_functions?oldid=618725169.
- Proto-value_functions isPrimaryTopicOf Proto-value_functions.