RL-Algorithm

Implement of serval reinforcement learning algorithm

Directory Structure

• algorithms: implement of game theory algorithm
• docs: document of each algorithm and environment
• envs: game environments
• utils: common tools

Algorithms

Algorithm	Reference	Status
DQN	10.1038/nature14236	✅
SARSA		✅
Double DQN	10.1609/aaai.v30i1.10295	✅
Dueling DQN	10.48550/arXiv.1511.06581	✅
Rainbow DQN	10.1609/aaai.v32i1.11796
REINFORCE	10.1007/BF00992696	✅
VPG(Vanilla Policy Gradient)		✅
AC(Actor Critic)		~
A2C
A3C
DPG(Deterministic Policy Gradient)
DDPG
TRPO(Trust Region Policy Optimization)	10.5555/3045118.3045319
PPO(Proximal Policy Optimization)	arXiv:1707.06347	✅
TD3

Code Reference

1. thu-ml/tianshou: An elegant PyTorch deep reinforcement learning library. (github.com)
2. deepmind/open_spiel: OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games. (github.com)
3. PyTorch documentation — PyTorch 1.13 documentation
4. Welcome to Spinning Up in Deep RL! — Spinning Up documentation (openai.com)