Skip to main content

A modular reinforcement learning pipeline with Keras

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for Pavlov, version 0.2.1
Filename, size File type Python version Upload date Hashes
Filename, size Pavlov-0.2.1.tar.gz (24.9 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page