This paper explores the foundational concepts of machine learning (ML) and deep learning (DL), providing a detailed understanding for both researchers and beginners aiming to develop a solid grasp of when and how to use different models effectively.
From AlphaGo beating the world champion in Go, to the newest updates on large language models and what they can do, RL algorithms with no doubt have a huge impact in the present and the future of automation and Human-AI interaction. With this collection of RL principles, you'll gain a deeper understand of how RL work and you may gain insights applicable in your own work, leading to innovative solutions.
