The Code for Paper “Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards”

Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

🔥 Linux下C++轻量级WebServer服务器

Author's PyTorch implementation of TD3 for OpenAI gym tasks

A C++ High Performance Web Server

C++高性能分布式服务器框架,webserver,websocket server,自定义tcp_server（包含日志模块，配置模块，线程模块，协程模块，协程调度模块，io协程调度模块，hook模块，socket模块，bytearray序列化，http模块，TcpServer模块，Websocket模块，Https模块等, Smtp邮件模块, MySQL, SQLite3, ORM,Red…

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本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

Paper list of multi-agent reinforcement learning (MARL)