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Real-time system optimal traffic routing under uncertainties - Can physics models boost reinforcement learning?
Zemian Ke
Qiling Zou
Jiachao Liu
Sean Qian
Published in:
CoRR (2024)
Keyphrases
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real time
reinforcement learning
artificial intelligence
dynamic programming
probabilistic model
function approximation
optimal control
machine learning
learning algorithm
state space
sensor networks
road network
robotic control