zhoushiyang12

TeD-Q

TeD-Q (Tensor-network enhanced Distributed Quantum) is a tensor network enhanced distributed hybrid quantum machine learning framework.

Competition_3v3snakes

Paper_Notes

This will contain my notes for research papers that I read.

leetcode_py

Leetcode with python

free-programming-books-zh_CN

:books: 免费的计算机编程类中文书籍，欢迎投稿

ElegantRL

Massively Parallel Deep Reinforcement Learning. 🔥

MAgent

An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of reference environments

REFIL

Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021

smac

SMAC: The StarCraft Multi-Agent Challenge

CollaQ

A code implementation for our arXiv paper "Multi-agent Adhoc Team Play using Decompositional Q function"

mtmfrl

Multi Type Mean Field Reinforcement Learning

PettingZoo

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

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/

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

ppo

Proximal Policy Optimization implementation with TensorFlow

DeepRL-1

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

maddpg

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

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

RL-Notebook

Reinforcement learning (RL) Notes and Notebooks.

gym-carla

An OpenAI gym wrapper for CARLA simulator

detect-loc-map

End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning

carla-rl

Reinforcement Learning Agents Trained in the CARLA Simulator

RL_pursuit_evasion

RLs

Reinforcement Learning Algorithms Based on PyTorch

Popular-RL-Algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

awesome-reinforcement-learning-zh

中文整理的强化学习资料（Reinforcement Learning）

LaTeX-Template-Cn

\LaTeX 中文模版收集。

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学