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 (Author), Dabney, William (Author), Geramifard, Alborz (Contributor), Klein, Robert Henry (Contributor), How, Jonathan P. (Contributor)
Other Authors:	Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format:	Article
Language:	English
Published:	MIT Press, 2016-12-07T19:45:44Z.
Subjects:	Article
Online Access:	Get fulltext

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