97 citations · 281 across the 14 of their papers we have counts for
5 papers · 1 filter
Complexity-Regularized Proximal Policy Optimization
Luca Serfilippi, Giorgio Franceschelli, Antonio Corradi +1
Policy gradient methods usually rely on entropy regularization to prevent premature convergence. However, maximizing entropy indiscriminately pushes the policy towards a uniform di…
Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning
Giorgio Franceschelli, Mirco Musolesi
The Overfitted Brain hypothesis suggests dreams happen to allow generalization in the human brain. Here, we ask if the same is true for reinforcement learning agents as well. Given…
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges
Giorgio Franceschelli, Mirco Musolesi
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 a…
DeepCreativity: Measuring Creativity with Deep Learning Techniques
Giorgio Franceschelli, Mirco Musolesi
Measuring machine creativity is one of the most fascinating challenges in Artificial Intelligence. This paper explores the possibility of using generative learning techniques for a…
Creativity and Machine Learning: A Survey
Giorgio Franceschelli, Mirco Musolesi
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 the…