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

毕业设计的代码部分，实现了UE4和airsim环境下无人机自主导航和目标跟踪的强化学习算法。

Simulation and analysis tools for autonomous F-16 maneuvers as a V&V benchmark

Python Version of F-16 Maneuver Verification Benchmark

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

Rapid Exploration with Multiple Unmanned Aerial Vehicles (UAV)

鸿钧：一个基于虚幻引擎和 AirSim 的仿真系统，让用户以简单轻松的配置方式搭建定制化的无人机作战环境。 本项目是鸿钧的 python 控制器，其通过 Socket 协议与由基于虚幻引擎和 AirSim 的仿真系统——鸿钧建立通讯，并控制其中仿真的无人机，进行飞行和战斗任务。用户可以使用 Python 语言编写无人机的飞行任务程序，完成无人机的编队飞行、攻击战斗、集群对抗等任务。 本团队在…

Air to air combat sandbox, created in Python 3 using the HARFANG 3D 2 framework.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Multi-platform auto-proxy client, supporting Sing-box, X-ray, TUIC, Hysteria, Reality, Trojan, SSH etc. It’s an open-source, secure and ad-free.

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …

An open source flight dynamics & control software library

Official implementation of HARL algorithms based on PyTorch.

An environment based on JSBSIM aimed at one-to-one close air combat.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Combines JSBSim and Airsim with a python module to simulate a fixedwing

A reinforcement learning environment for aircraft control using the JSBSim flight dynamics model

Multiagent research environment toolbox based on Unreal Engine

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Multiagent Reinforcement Learning Research Project

A collection of multi agent environments based on OpenAI gym.

This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".

一个 Aria2 图形界面安卓客户端 | An Aria2 GUI Android App

An environment based on JSBSIM aimed at one-to-one close air combat.

Paper list of multi-agent reinforcement learning (MARL)