Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control

Researchers have developed Unicorn, a universal reinforcement learning framework for adaptive traffic signal control that addresses challenges in heterogeneous urban traffic networks. The system uses collaborative multi-agent reinforcement learning with unified mapping and specialized representation modules to optimize traffic flow across diverse intersection topologies.