Bassam Alrifaee

SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning

2024

This paper introduces an open-source, decentralized framework named SigmaRL, designed to enhance both sample effciency and generalization of multi-agent Reinforcement Learning (RL) for motion planning of connected and automated vehicles. Most RL agents exhibit a …