Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning

Abstract

Recent advances in combining deep neural network architectures with reinforcement learning techniques have shown promising potential results in solving complex control problems with high dimensional state and action spaces. Inspired by these successes, in this paper, we build two kinds of reinforcement learning algorithms: deep policy-gradient and value… (More)

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@article{Mousavi2017TrafficLC, title={Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning}, author={Seyed Sajad Mousavi and Michael Schukat and Peter Corcoran and Enda Howley}, journal={CoRR}, year={2017}, volume={abs/1704.08883} }