International Journal of Intelligent Transportation Systems Research
A Dual-Mode Multi-Agent Reinforcement Learning Method for Context-Aware Traffic Control Optimization
Dual-policy traffic signal control that responds to ordinary traffic and emergency vehicles. I contributed to methodology, development, and simulation.
Research contribution
The DM-MADDPG project builds on my earlier MOP-MADDPG work, using separate reward and policy structures for context-dependent traffic control. The journal's contribution statement credits me with research and methodology, simulation, and development.