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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

cs-books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

easy-rl

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

edgefed-marl-mec

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fair_flearn

Fair Resource Allocation in Federated Learning (ICLR '20)

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

mava

A library of multi-agent reinforcement learning components and systems

multi-agent-deep-deterministic-policy-gradients

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

multiagent-particle-envs

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

on-policy

This is the official implementation of Multi-Agent PPO (MAPPO).

practicing-federated-learning

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-a3c

Simple A3C implementation with pytorch + multiprocessing

reinforce

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

td3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

tensorlayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

tinywebserver

:fire: Linux下C++轻量级Web服务器

uav