1 citations · 1 across the 3 of their papers we have counts for
3 papers
A Robust and Efficient Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
Sheng-You Huang, Hsiao-Chuan Chang, Yen-Chi Chen +6
Reinforcement Learning (RL) in Traffic Signal Control (TSC) faces significant hurdles in real-world deployment due to limited generalization to dynamic traffic flow variations. Exi…
VissimRL: A Multi-Agent Reinforcement Learning Framework for Traffic Signal Control Based on Vissim
Hsiao-Chuan Chang, Sheng-You Huang, Yen-Chi Chen +1
Traffic congestion remains a major challenge for urban transportation, leading to significant economic and environmental impacts. Traffic Signal Control (TSC) is one of the key mea…
Residual Scheduling: A New Reinforcement Learning Approach to Solving Job Shop Scheduling Problem
Kuo-Hao Ho, Ruei-Yu Jheng, Ji-Han Wu +4
Job-shop scheduling problem (JSP) is a mathematical optimization problem widely used in industries like manufacturing, and flexible JSP (FJSP) is also a common variant. Since they…