xiaoyangyang2

AlgoXY

Book of Elementary Algorithms and Data structures

daily_arxiv

Using GitHub Action to collect paper list with publicly available source code in the daily arxiv

Deep-Reinforcement-Learning-Hands-On-Second-Edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

deep-rl-class

This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.

DRL-code-pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

DunkCityDynasty

ElegantRL

Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥

epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

gtrick

Bag of Tricks for Graph Neural Networks.

Hands-on-RL

https://hrl.boyuai.com/

InforMARL

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

invalid-action-masking

Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

mader

Trajectory Planner in Multi-Agent and Dynamic Environments

marl_transfer

Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)

Multi-Agent-Constrained-Policy-Optimisation

Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

on-policy

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

panther

Perception-Aware Trajectory Planner in Dynamic Environments

PARL

A high-performance distributed training framework for Reinforcement Learning

PGL

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

planning

List of planning algorithms developed at MIT-ACL

PPOxFamily

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

Practical_RL

A course in reinforcement learning in the wild

privateGPT

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

RACE

(ICML 2023) The official code for RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution

Safe-Reinforcement-Learning-Baselines

The repository is for safe reinforcement learning baselines.

smac

SMAC: The StarCraft Multi-Agent Challenge

TD3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

uav_bs_ctrl

Code implementation of "Cooperative Trajectory Design of Multiple UAV Base Stations with Heterogeneous Graph Neural Networks".

WZU-machine-learning-course

温州大学《机器学习》课程资料（代码、课件等）