CARE Framework: Context-Aware Resource Evaluation for 5G Network Slicing

Scalable Multi-Agent Reinforcement Learning with IQL and QMIX — from-scratch implementation in a custom grid environment. Compare independent vs centralized learning as agents scale from 2 to 10.

Continual Multi-agent Reinforcement Learning in Dynamic Environments

Source code for the MARL-enabled real-time control of urban drainage system

RLToolkit is a flexible and high-efficient reinforcement learning framework. Include implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

QMIX implemented in TensorFlow 2

General-Purpose Reinforcement Learning

PPO and PyMARL baseline for Pogema environment

StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX

MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...

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

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library