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...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
MIT Press
2016
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| Online Access: | http://hdl.handle.net/1721.1/105742 https://orcid.org/0000-0002-2508-1957 |