2 papers
cs.AI2025
Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control
Yuli Zhang, Shangbo Wang, Dongyao Jia +4
Reinforcement learning (RL) emerges as a promising data-driven approach for adaptive traffic signal control (ATSC) in complex urban traffic networks, with deep neural networks subs…
cs.MA2025
Communication Strategy on Macro-and-Micro Traffic State in Cooperative Deep Reinforcement Learning for Regional Traffic Signal Control
Hankang Gu, Shangbo Wang, Dongyao Jia +5
Adaptive Traffic Signal Control (ATSC) has become a popular research topic in intelligent transportation systems. Regional Traffic Signal Control (RTSC) using the Multi-agent Deep…