Exploration-Driven Genetic Algorithms for Hyperparameter Optimisation in Deep Reinforcement Learning

This paper investigates the application of genetic algorithms (GAs) for hyperparameter optimisation in deep reinforcement learning (RL), focusing on the Deep Q-Learning (DQN) algorithm. This study aims to identify approaches that enhance RL model performance through the effective exploration of the...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Bartłomiej Brzęk, Barbara Probierz, Jan Kozak
Format:	Article
Language:	English
Published:	MDPI AG 2025-02-01
Subjects:	genetic algorithm reinforcement learning hyperparameter optimisation
Online Access:	https://www.mdpi.com/2076-3417/15/4/2067