arxivcs.AIcs.LG2026-07-04
Explainable Reinforcement Learning for Adaptive Traffic Signal Control
Dickens Kwesiga, Nishu Choudhary, Angshuman Guin, Michael Hunter
Reinforcement Learning (RL) has emerged as a powerful paradigm for adaptive traffic signal control. However, in safety-critical infrastructure like traffic control, the opaque, black-box nature of deep RL models poses challenges for transportation agency acceptance, regulatory co…