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Minimax PAC-Bounds on the Sample Complexity of Reinforcement Learning with a Generative Model, in 'Machine Learning Journal

Title: Minimax PAC-Bounds on the Sample Complexity of Reinforcement Learning with a Generative Model, in 'Machine Learning Journal
Authors: Mohammad Gheshlaghi Azar; Minimax Pac; Hal Id Hal
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: https://hal.archives-ouvertes.fr/hal-00831875/document/.
Publication Year: 2012
Collection: CiteSeerX
Description: To cite this version
Document Type: text
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.652.179
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.652.179
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.3F1B6902
Database: BASE