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Sadeq Mohammed Kadhm

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AI | Free Full-Text | Optimization Strategies for Atari Game Environments: Integrating Snake Optimization Algorithm and Energy Valley Optimization in Reinforcement Learning Models

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By Hakan Koyuncu, Sadeq Mohammed Kadhm
| MDPI
1. Introduction In the realm of artificial intelligence, machine learning stands as a cornerstone, offering a diverse spectrum of applications that significantly impact various sectors. Among its numerous methodologies, three distinct learning paradigms dominate—supervised learning (SL) [1], unsupervised learning (UL) [2], and reinforcement learning (RL) [3]—each contributing uniquely to the advancement of AI technologies.
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