Jul 2026
Explainable Reinforcement Learning for Adaptive Traffic Signal Control
This effort introduces a novel, explainable entity centric RL framework for safe and transparent traffic signal control, offering an auditable, trust-enabling, and deployable architecture for next-generation adaptive traffic control systems.
D. Kwesiga, Nishu Choudhary, Angshuman Guin et al.
· arXiv.org · 0 citations