offical code of paper 'SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding'

"When to Switch" Implementation: Addressing the PO-MAPF challenge with RePlan & EPOM policies. This repo includes search-based re-planning, reinforcement learning techniques, and three mixed polici…

Improve Warehouse Productivity using Order Batching

This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.

[NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing

This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short oral at IJCAI 2022.

[ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"

Reinforcement Learning for Solving the Vehicle Routing Problem

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

golang面试题集合

一个用于在 macOS 上平滑你的鼠标滚动效果或单独设置滚动方向的小工具, 让你的滚轮爽如触控板 | A lightweight tool used to smooth scrolling and set scroll direction independently for your mouse on macOS

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

The next generation deep reinforcement learning tookit

这是由szy,bhy,wn,fp开发的红色警戒游戏

The pytorch implementation of DGN on grid world and Starcraft

DGN Code

MAGNet: Multi-agents control using Graph Neural Networks

Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.

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

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Demo Video