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Vincenzo Lomonaco, Luigi Quarantiello, Antonio Carta, Andrea Cossu - Continual Learning, Inbunden

Inbunden, Engelska, 2027

Continual Learning

On AI Agents that Never Stop Learning

Av Vincenzo Lomonaco, Luigi Quarantiello, Antonio Carta, Andrea Cossu

839 kr

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One of the key pillars of intelligence is the ability to adapt to change. Intended for graduate students, researchers and practitioners, this book develops a principled framework for designing lifelong AI agents that can incrementally and efficiently acquire new knowledge and skills over time. It is organised around four main parts. First, it introduces continual learning agents, clarifying how learning systems interact with dynamic environments beyond the static training paradigm. Second, it develops the foundations of adaptation through online learning, transfer learning, pretraining, and self-supervised learning. Third, it focuses on memory consolidation and the stability–plasticity trade-off, presenting key algorithmic families-regularisation, replay and architectural methods-alongside multi-task and meta-learning strategies. Finally, it connects these foundations to practical recommendations, applications, and open challenges, including distributed continual learning, reasoning, foundation models, and never-ending AI learning agents.
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Vincenzo Lomonaco is an Associate Professor at Luiss Guido Carli University, where he leads the COLLAGE Lab. His research focuses on AI agents that continually learn over time. In this area, he has published over 80 papers in leading conferences and journals and secured over €2 million in funding. Luigi Quarantiello is a Ph.D. candidate in the Italian National Ph.D. Program in Artificial Intelligence at the University of Pisa. He is a member of the COLLAGE lab and of the CIML group, focusing on adapting foundation models efficiently for evolving, real-world deployment scenarios. Antonio Carta is an Assistant Professor at the University of Pisa and a member of the Pervasive AI Lab. His research is focused on continual learning in rehearsal free and distributed settings. He is also the lead maintainer of Avalanche, an open-source continual learning library developed by ContinualAI. Andrea Cossu is an Assistant Professor at the University of Pisa. His research revolves around deep continual learning. Andrea was Board Member and Treasurer of ContinualAI, a non-profit organization on continual learning. He is one of the maintainers of the Avalanche library.

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