Counter-Intuitive Effects of <italic>Q</italic>-Learning Exploration in a Congestion Dilemma

Counter-Intuitive Effects of <italic>Q</italic>-Learning Exploration in a Congestion Dilemma

Exploration is an integral part of learning dynamics which allows algorithms to search a space of solutions. When many algorithms simultaneously explore, this can lead to counter-intuitive effects. This paper contributes an analysis of the influence that exploration has on a multi-agent system of &l...

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Bibliographic Details
Main Author: Cesare Carissimo
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Braess paradox
chaos
congestion games
learning dynamics
reinforcement learning
Q-learning
Online Access:https://ieeexplore.ieee.org/document/10414037/

Internet

https://ieeexplore.ieee.org/document/10414037/

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