RL Toolkit

RL Toolkit is a collection of RL algorithms written in PyTorch & NumPy.

Algorithms

Algorithm	Environment	Framework
Q Table	Frozen Lake	NumPy
DQN	CartPole	PyTorch
Dueling DQN	CartPole	PyTorch
Reinforce/VPG	CartPole	PyTorch
A2C	CartPole	PyTorch

Resources

• DeepMind and David Silver's lecture series on an Introduction to Reinforcement Learning
• Stanford and Emma Brunskill's lecture series on Reinforcement Learning
• OpenAI Spinning Up
• Reinforcement Learning Review by Lilian Weng