Significant progress has been made in symbolic music generation with the help of deep
learning techniques. However, the tasks covered by symbolic music generation have not …

The utilization of deep learning techniques in generating various contents (such as image,
text, etc.) has become a trend. Especially music, the topic of this paper, has attracted …

Deep reinforcement learning (DRL) is poised to revolutionise the field of artificial intelligence
(AI) by endowing autonomous systems with high levels of understanding of the real world …

In recent years, reinforcement learning and bandits have transformed a wide range of real-
world applications including healthcare, finance, recommendation systems, robotics, and …

Abstract 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 …

In recent years, foundation models (FMs) such as large language models (LLMs) and latent
diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This …

There is a growing interest in the area of machine learning and creativity. This survey
presents an overview of the history and the state of the art of computational creativity …

We propose MusicRL, the first music generation system finetuned from human feedback.
Appreciation of text-to-music models is particularly subjective since the concept of musicality …

Music is one of the Gardner's intelligences in his theory of multiple intelligences. How
humans perceive and understand music is still being studied and is crucial to develop …

Music generation using deep learning has received considerable attention in recent years.
Researchers have developed various generative models capable of imitating musical …