Feb. 9, 2024, 5:44 a.m. | Giorgio Franceschelli Mirco Musolesi

cs.LG updates on arXiv.org arxiv.org

Generative Artificial Intelligence (AI) is one of the most exciting developments in Computer Science of the last decade. At the same time, Reinforcement Learning (RL) has emerged as a very successful paradigm for a variety of machine learning tasks. In this survey, we discuss the state of the art, opportunities and open research questions in applying RL to generative AI. In particular, we will discuss three types of applications, namely, RL as an alternative way for generation without specified objectives; …

art artificial artificial intelligence challenges computer computer science cs.ai cs.lg discuss generative generative artificial intelligence intelligence machine machine learning opportunities paradigm reinforcement reinforcement learning research science state state of the art survey tasks

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