Skip to main content

A Python Deep Reinforcement Learning library

Project description

PyDRL

A Python Deep Reinforcement Learning library. We make the whl so that you don't have to reinvent it

To Do

  1. Agents -
  • Random Agent
  • CEM Agent
  • DQN
  • DQN with Target Value Network
  • Double DQN
  • Dueling DQN
  • Policy Gradient
  • Actor Critic
  • Advantage Actor Critic - A2C
  • Asynchronous Advantage Actor Critic - A3C
  1. Utilities -
  • Experience Replay
  • Prioritised Experience Replay
  • Ring Buffer

Project details


Release history Release notifications

Download files

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

Files for PyDRL, version 0.0.1
Filename, size File type Python version Upload date Hashes
Filename, size PyDRL-0.0.1-py3-none-any.whl (1.5 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size PyDRL-0.0.1.tar.gz (1.2 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