troysung

troysung's Stars

• donnemartin/system-design-primer

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

  Language:Python291k6.7k32248.3k

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python16.1k6428504.9k

• Caldis/Mos

  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

  Language:Swift15.9k99614537

• tssovi/grokking-the-object-oriented-design-interview

  Language:Python5.3k64102.6k

• lifei6671/interview-go

  golang面试题集合

  Language:Go5.2k8952910

• TJU-DRL-LAB/AI-Optimizer

  The next generation deep reinforcement learning tookit

  Language:Python3.5k5194595

• jonbarron/website

  Language:HTML2.9k16162.3k

• starry-sky6688/MARL-Algorithms

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

  Language:Python1.5k15114289

• Bigpig4396/Multi-Agent-Reinforcement-Learning-Environment

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

  Language:Python69597127

• hijkzzz/pymarl2

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

  Language:Python6381541125

• OptMLGroup/VRP-RL

  Reinforcement Learning for Solving the Vehicle Routing Problem

  Language:Python630268223

• PKU-MARL/Multi-Agent-Transformer

  Language:Python37984075

• PKU-RL/DGN

  DGN Code

  Language:Python34292788

• tencent-ailab/tleague_projpage

  Language:Jinja1428017

• jiechuanjiang/pytorch_DGN

  The pytorch implementation of DGN on grid world and Starcraft

  Language:Python1381935

• tegg89/magnet

  MAGNet: Multi-agents control using Graph Neural Networks

  Language:Jupyter Notebook13010427

• samirsaci/picking-route

  Improve Warehouse Productivity using Order Batching

  Language:Python1093238

• proroklab/magat_pathplanning

  Language:Python1065730

• YuhangSong/Arena-Baselines

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

  Language:ASP.NET1016138

• yining043/VRP-DACT

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

  Language:Jupyter Notebook9721122

• Greilfang/Our-Red-Alert

  这是由szy,bhy,wn,fp开发的红色警戒游戏

  Language:C++847226

• mit-wu-lab/learning-to-delegate

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

  Language:C801314

• yining043/PDP-N2S

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

  Language:Python553016

• liangxinedu/MDAM

  Language:Python511411

• RoyalSkye/Omni-VRP

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

  Language:Python48215

• marmotlab/SCRIMP

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

  Language:Python422516

• Cognitive-AI-Systems/when-to-switch

  "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 policies for pathfinding in partially observable multi-agent environments. 🤖🛤️

  Language:Python29502

• boschresearch/Hierarchies-of-Planning-and-Reinforcement-Learning-for-Robot-Navigation

  Language:Python16503

• Qiushi-Lin/SACHA

  Language:Python4106

• hanglearning/ucb-pacman-multiagent-reinforcement

  Demo Video

  Language:Python3200