Learning Reinforcement Learning:

Algorithms from DQN to Rainbow, PPO, DDPG with unified interface.

Full text: Modern Deep Reinforcement Learning Algorithms
Theory overview (slides): Theory Overview - some conspect of articles about implemented algorithms.
LRL Demo: LRL demo.ipynb Library interface guide.
LRL Cartpole: LRL Playing with cartpole.ipynb - launching a bunch of algorithms on the simplest environment Cartpole.

Requirements:

IQN, DQRN, ACKTR, ACER, SAC, TD3, REACTOR, APE-X, R2D2...

Name		Name	Last commit message	Last commit date
Latest commit History 111 Commits
Experimental		Experimental
LRL		LRL
Rubik's cube		Rubik's cube
Theory Overview		Theory Overview
Creating A2C.ipynb		Creating A2C.ipynb
LRL Playing with cartpole.ipynb		LRL Playing with cartpole.ipynb
LRL Pong plots and visuals.ipynb		LRL Pong plots and visuals.ipynb
LRL Pong.ipynb		LRL Pong.ipynb
LearningRL - Demo.ipynb		LearningRL - Demo.ipynb
README.md		README.md
Research topics.md		Research topics.md