multi-agent-reinforcement-learning topic

A Universal Deep Reinforcement Learning Framework

garlicdevs

Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x

JohannesAck

This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).

Future-Power-Networks

PyTorch implements multi-agent reinforcement learning algorithms, including QMIX, Independent PPO, Centralized PPO, Grid Wise Control, Grid Wise Control+PPO, Grid Wise Control+DDPG.

yangchen1997

[NeurIPS 2021] Official implementation of paper "Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization".

decisionforce

Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment

isp1tze

A curated list of multiagent learning and related area resources.

chuangyc

CommNet and BiCnet implementation in tensorflow

Coac

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of...

proroklab

Project on multi agent reinforcement learning applied on patrolling agents

bdvllrs