Search Results for author: Joseph. Y. J. Chow

Found 1 papers, 0 papers with code

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

no code implementations2 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

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