Why reinforcement learning?

Aydin, Mehmet Emin; Durgut, Rafet; Rakib, Abdur

Abstract

The term Artificial Intelligence (AI) has come to be one of the most frequently expressed keywords around the globe. Machine learning (ML) continues to gain popularity in the provision of solutions to both industrial and everyday problems, and advancements in infrastructure computing technologies have driven a surge of interest in AI, ML, and particularly large language models (LLMs). This involves huge data stocks and bulky data processing. However, many real-world problems lack the necessary existing data for modelling and model training. Furthermore, numerous dynamic problems do not retain data for later use due to constantly evolving circumstances, resulting in significant challenges in identifying or uncovering patterns (domain knowledge) within such dynamic structures and situations. These problems remain as significant and outstanding challenges.

• Journal Article Type: Editorial
• Acceptance Date: Jun 17, 2024
• Online Publication Date: Jun 20, 2024
• Publication Date: Jun 20, 2024
• Deposit Date: Jul 5, 2024
• Publicly Available Date: Jul 8, 2024
• Journal: Algorithms
• Electronic ISSN: 1999-4893
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 17
• Issue: 6
• Article Number: 269
• DOI: https://doi.org/10.3390/a17060269
• Public URL: https://uwe-repository.worktribe.com/output/12113661