Rlpy: A Value-Function-Based Reinforcement Learning Framework for Education and Research

Rlpy: A Value-Function-Based Reinforcement Learning Framework for Education and Research

RLPy is an object-oriented reinforcement learning software package with a focus on valuefunction-based methods using linear function approximation and discrete actions. The framework was designed for both educational and research purposes. It provides a rich library of fine-grained, easily exchangea...

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Detalles Bibliográficos
Autores principales: Dann, Christoph, Dabney, William, Geramifard, Alborz, Klein, Robert Henry, How, Jonathan P.
Otros Autores: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Formato: Artículo
Lenguaje:en_US
Publicado: MIT Press 2016
Acceso en línea:http://hdl.handle.net/1721.1/105742
https://orcid.org/0000-0002-2508-1957

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