This is the code of the moddpg algorithm for UAV-assisted data collection and energy harvesting.

Python implementation of a bunch of multi-robot path-planning algorithms.

This is a UAV path planning in a map-based environment using double deep Q-Network

Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning

Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)

Python Multi-Agent Reinforcement Learning framework

Code for "SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning" AAAI 2020

MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...

多智能体强化学习VDN、QMIX、QTRAN、QPLEX复现

📄 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护

🔥 官方推荐 🔥 大学春招、秋招、应届项目，SpringBoot3 + Java17 + SpringCloud Alibaba + Vue3 等技术架构，完成高仿铁路 12306 用户 + 抢票 + 订单 + 支付服务，帮助学生主打就业的项目。

Collection of awesome Java project on Github(非常棒的 Java 开源项目集合).

一款基于Netty+Zookeeper+Spring实现的轻量级Java RPC框架。提供服务注册，发现，负载均衡，支持API调用，Spring集成和Spring Boot starter使用。是一个学习RPC工作原理的良好示例。

收集轮子类项目

The first unofficial implementation of a paper with the title of "UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices" (IEEE Transactions on Wireless Communications 2019)

卡码网题解全集

mini-spring是简化版的spring框架，能帮助你快速熟悉spring源码和掌握spring的核心原理。抽取了spring的核心逻辑，代码极度简化，保留spring的核心功能，如IoC和AOP、资源加载器、事件监听器、类型转换、容器扩展点、bean生命周期和作用域、应用上下文等核心功能。

在线云盘、网盘、OneDrive、云存储、私有云、对象存储、h5ai、上传、下载

一个简单的数据库实现

📌 异步线程池框架，支持线程池动态变更&监控&报警，无需修改代码轻松引入。Asynchronous thread pool framework, support Thread Pool Dynamic Change & monitoring & Alarm, no need to modify the code easily introduced.

基于flink的异构数据源同步🤩🤩

Python implementation of DDQN multi-UAV data harvesting

⭐️一款好用又强大的开源社区，基于 Spring Boot、MyBatis-Plus、MySQL、Redis、ElasticSearch、MongoDB、Docker、RabbitMQ 等主流技术栈，附详细教程，包括Java、Spring、MySQL、Redis、微服务&分布式、消息队列等核心知识点。学编程，就上技术派😁。

A Reinforcement Learning (RL) agent for Coverage Path Planning.

灰狼优化算法(GWO)路径规划/轨迹规划/轨迹优化、多智能体/多无人机航迹规划

basic theory and code of RL.

Variational Denoising Network: Toward Blind Noise Modeling and Removal (NeurIPS, 2019) (Pytorch)

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

Code for Weighted QMIX