
FLDQN: Cooperative Multi-Agent Federated Reinforcement Learning for Solving Travel Time Minimization Problems in Dynamic Environments Using SUMO Simulation.
Innovative FLDQN algorithm enhances traffic management by optimizing vehicle routing and reducing travel times. ππ¨ Collaborative learning proves effective!









