Decentralized Multi-Agent Reinforcement Learning for Optimizing Quantum Memory Based Quantum Repeaters
This repository implements a memory-based quantum repeater chain as a Gymnasium and PettingZoo environment, formulated as a multi-agent Partially Observable Markov Decision Process (POMDP). A Multi-Agent Reinforcement Learning (MARL) system based on the Proximal Policy Optimization (PPO) algorithm is trained to dynamic...