RLPy

RLPy

The Reinforcement Learning Library for Education and Research

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Overview

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Welcome to RLPy’s documentation!

RLPy is a framework to conduct sequential decision making experiments. The current focus of this project lies on value-function-based reinforcement learning, specifically using linear function approximators. The project is distributed under the 3-Clause BSD License.

Indices and tables

Staying Connected

Feel free to join the rlpy list, rlpy@mit.edu by sending a message with subject line SUBSCRIBE. This list is intended for open discussion about questions, potential improvements, etc.