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A Python Deep Reinforcement Learning library

Project description


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

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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

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