This repo aims to provide a recommendation list for RL + Game freshmen.
A Survey of Deep Reinforcement Learning in Video Games https://arxiv.org/pdf/1912.10944.pdf
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II https://arxiv.org/abs/2012.13169
AlphaStar: Mastering the Real-Time Strategy Game StarCraft II https://deepmind.com/blog/article/alphastar-mastering-real-time-strategy-game-starcraft-ii
AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning https://deepmind.com/blog/article/AlphaStar-Grandmaster-level-in-StarCraft-II-using-multi-agent-reinforcement-learning
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning https://arxiv.org/abs/1912.09729
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning https://arxiv.org/abs/2011.12895
Mastering the game of Go with Deep Neural Networks & Tree Search https://deepmind.com/research/publications/2019/mastering-game-go-deep-neural-networks-tree-search
Mastering the game of Go without Human Knowledge https://deepmind.com/research/publications/2019/mastering-game-go-without-human-knowledge
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play https://deepmind.com/research/publications/2019/general-reinforcement-learning-algorithm-masters-chess-shogi-and-go-through-self-play
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model https://deepmind.com/research/publications/2020/mastering-atari-go-chess-and-shogi-by-planning-with-a-learned-model
Playing Atari with Deep Reinforcement Learning https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf
Using Deep Q-Network to Learn How To Play Flappy Bird https://github.com/yenchenlin/DeepLearningFlappyBird
ReinforcementLearning-AtariGame https://github.com/Nasdin/ReinforcementLearning-AtariGame
中国象棋Zero（CCZero） https://github.com/NeymarL/ChineseChess-AlphaZero
threes-ai https://github.com/halfrost/threes-ai
Thought-SC2 https://github.com/StarBeta/Thought-SC2