How Well Do Reinforcement Learning Approaches Cope With Disruptions? The Case of Traffic Signal Control

How Well Do Reinforcement Learning Approaches Cope With Disruptions? The Case of Traffic Signal Control

Data-driven and machine-learning-based methods are increasingly used in attempts to master the challenges of the world. But are they really the best approaches to manage complex dynamical systems? Our aim is to gain more insights into this question by studying various popular reinforcement learning...

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Bibliographic Details
Main Authors: Marcin Korecki, Damian Dailisan, Dirk Helbing
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Traffic networks
reinforcement learning
self-organization
signal control
disruptions
benchmark
Online Access:https://ieeexplore.ieee.org/document/10100954/

Internet

https://ieeexplore.ieee.org/document/10100954/

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