junjunjunhj Goto Github PK
Name: ZhangJunkai
Type: User
Bio: A Phd studying reinforcement learning in Institute of Automation, Chinese Academy of Sciences
Location: Beijing, China
Name: ZhangJunkai
Type: User
Bio: A Phd studying reinforcement learning in Institute of Automation, Chinese Academy of Sciences
Location: Beijing, China
[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".
ELIGN: Expectation Alignment as a Multi-agent Intrinsic Reward
Attention based model for learning to solve different routing problems
Check out the new game server:
https://hrl.boyuai.com/
junjunjun的个人主页
Learning Individual Intrinsic Reward in MARL
一键解决知乎导入Markdown文件时图片和公式等问题。
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
The MARL extension for RLlib. A benchmark for research and industry.
L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
The implementation of ICLR-2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".
codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"
Python Multi-Agent Reinforcement Learning framework
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
Accompanying repo for the RLPrompt paper
Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
SMAC: The StarCraft Multi-Agent Challenge
An elegant PyTorch deep reinforcement learning library.
the fork one
This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.