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Repo containing code for multi-agent deep reinforcement learning (MADRL).
This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
Paper list of multi-agent reinforcement learning (MARL)
A library for simulation of multi-agent systems under non-ideal communication
《多智能体系统一致性协同演化控制理论与技术》-纪良浩
《多智能体系统的协同群集运动控制》-陈杰
Reinforcement Learning with Model Predictive Control
Model Predictive Contouring Controller (MPCC) for Autonomous Racing
Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
Multi-Agent Reinforcement Learning (MARL) papers
Numerical Simulation for Zero-Order Distributed Policy Optimization algorithm (ZODPO)
A leader-follower formation control using deep reinforcement learning environment, In which every agent can learn to follow the leader agent by keeping track of a certain distance to that leader, avoiding obstacles, and avoiding collision with the other agents.
Basic tools for evaluating consensus-based, multi-agent, actor-critic reinforcement learning algorithms.
Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.
Implementation of several multiagent trajectory generation algorithms
多机器人地图覆盖仿真
Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games. Zihan Ding, Dijia Su, Qinghua Liu, Chi Jin
Experiments for distributed optimization algorithms
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
This is the official implementation of Multi-Agent PPO (MAPPO). Forked from the original repo for testing purposes.
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
An inverse game solver for inferring objectives from noise-corrupted partial state observations of non-cooperative multi-agent interactions.
Decentralized Multi-Agent Exploration on ROS with Distributed Deep Reinforcement Learning using A3C Algorithm
Gym for multi-agent reinforcement learning
Author's implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
Library for research on Distributed Constraints Optimization Problems
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.