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Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning
The Overfitted Brain hypothesis suggests dreams happen to allow generalization in the human brain.
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges
Generative Artificial Intelligence (AI) is one of the most exciting developments in Computer Science of the last decade.
On the Creativity of Large Language Models
Finally, we examine the societal impact of these technologies with a particular focus on the creative industries, analyzing the opportunities offered by them, the challenges arising by them and the potential associated risks, from both legal and ethical points of view.
DeepCreativity: Measuring Creativity with Deep Learning Techniques
Measuring machine creativity is one of the most fascinating challenges in Artificial Intelligence.
Copyright in Generative Deep Learning
In this article, we consider a set of key questions in the area of generative deep learning for the arts, including the following: is it possible to use copyrighted works as training set for generative models?
Creativity and Machine Learning: A Survey
There is a growing interest in the area of machine learning and creativity.
