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annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

bipedalwalker-branchingdqn

The Easiest Pytorch Implementation of Branching-DQN

bipedalwalker-ppo-pytorch

Continuous asynchronous PPO in Pytorch solving OpenAI's bipdedal walker

bipedalwalkerhardcore-sac

BipedalWalker & BipedalWalkerHardcore solved by SAC

boxing-rl

Boxing (Atari 2600) Reinforcement Learning w/ OpenAI Gym

carracingv0-ppo-pytorch

Solving the CarRacingv0 OpenAI Gym environment with an Actor-Critic Network and Proximal Policy Optimization using pytorch

cause-life-is-a-game

Solving games with reinforcement learning

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deep-rts

A Real-Time-Strategy game for Deep Learning research

deepreinforcementlearning_pytorch

Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym

douzero

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

dqn-atari

Deep Q-Learning (DQN) implementation for Atari pong.

dqn-play-supermario

implement the classic reinforcement learning algorithm DQN to play supermariobrother

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-microrts

A simple and highly efficient RTS-game-inspired environment for reinforcement learning

highway-dqn

hindsight-experience-replay

PPO with Hindsight Experience Replay (HER)

learning-note-java

Java开发及面试（个人面试、工作总结、资料收集站）

lsb567.github.io

multi-agent-reinforcement-learning-environment

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

openaipong-dqn

Solving Atari Pong Game w/ Duel Double DQN in Pytorch

play-daxigua-using-reinforcement-learning

用强化学习DQN算法，训练AI模型来玩合成大西瓜游戏，提供Keras版本和PARL（paddle）版本

playing-flappy-bird-by-dqn-on-pytorch

引用整理https://blog.csdn.net/yellow_red_people/article/details/80465510 一文中PyTorch平台，利用DQN模型玩Flappy Bird游戏，是一个再励学习（强化学习）实验例子。

ppo-pytorch

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

procgen-16-

Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments

python_practice

python_reptile

Reptile_practice

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

reinforcement_learning

강화학습에 대한 기본적인 알고리즘 구현

rl-atari-tennis

Play atari Tennis game by dqn