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torch-rl

TorchRL is a Deep Reinforcement Learning (RL), Offline RL, Imitation Learning and Multi Agent RL algorithms re-implementation using pytorch as simple and standalone python notebooks.

Algorithms

List of implemented algorithms

Algorithm Notebook
Proximal Policy Gradient (PPO) ppo_atari.ipynb
Deep Q-Learning (DQN) dqn.ipynb

:TODO:

Environments

List of environments used.

Atari

Playing on Asterix, Boxing, Breakout, Demon Attack, Freeway, Gopher, Kung Fu Master, Pong

:TODO:

Dev Setup

The development docker uses torch-jupyter as base image so running docker-buid and docker-run will setup everything.

License

MIT License

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PyTorch RL re-implementations

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