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Pavlov is a modular, composable reinforcement learning API, with models written in Keras with a Tensorflow backend.

Use Pavlov if you want a reinforcement learning library that:
  • Allows for easy and fast composition of various algorithms, exploration strategies, and state preprocessors

  • Allows for arbitrarily defined custom network architectures

  • Works with any environment that follows the OpenAI Gym interface

  • Comes with its own Docker image for both GPU and CPU usage

Pavlov is distributed under the MIT license.

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Release files for Pavlov 0.2.1

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Source distribution for Pavlov 0.2.1
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