Proximal Policy Optimization-Based Reinforcement Learning and Hybrid Approaches to Explore the Cross Array Task Optimal Solution

Proximal Policy Optimization-Based Reinforcement Learning and Hybrid Approaches to Explore the Cross Array Task Optimal Solution

In an era characterised by rapid technological advancement, the application of algorithmic approaches to address complex problems has become crucial across various disciplines. Within the realm of education, there is growing recognition of the pivotal role played by computational thinking (CT). This...

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Bibliographic Details
Main Authors: Samuel Corecco, Giorgia Adorni, Luca Maria Gambardella
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Machine Learning and Knowledge Extraction
Subjects:
computational thinking
problem-solving techniques
clustering
random search
reinforcement learning
proximal policy optimization
Online Access:https://www.mdpi.com/2504-4990/5/4/82

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https://www.mdpi.com/2504-4990/5/4/82

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