Deep-Q-Network-DQN-Variants-Analysis-for-Optimization

强化学习中文教程（蘑菇书?），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

? Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

?Reinforcement Learning: Super Mario Bros with dueling dqn?

DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM

Pytorch implementation of distributed deep reinforcement learning

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

Graph-based Deep Q Network for Web Navigation