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. 🚗💨 Collaborative learning proves effective!
