Dynamic Queue-Jump Lane for Emergency Vehicles under Partially Connected Settings: A Multi-Agent Deep Reinforcement Learning Approach

no code implementations • 2 Mar 2020 • Haoran Su, Kejian Shi, Joseph. Y. J. Chow, Li Jin

Based on pairs of neural networks representing actors and critics for agent vehicles, we develop a multi-agent actor-critic deep reinforcement learning algorithm that handles a varying number of vehicles and a random proportion of connected vehicles in the traffic.

Blocking Multi-agent Reinforcement Learning +2