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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Bibliographic Details
Main Authors: Dann, Christoph, Dabney, William, Geramifard, Alborz, Klein, Robert Henry, How, Jonathan P.
Other Authors: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Format: Article
Language:en_US
Published: MIT Press 2016
Online Access:http://hdl.handle.net/1721.1/105742
https://orcid.org/0000-0002-2508-1957

Internet

http://hdl.handle.net/1721.1/105742
https://orcid.org/0000-0002-2508-1957

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