Lecture 3: giovedì 11 gennaio (NUOVA DATA)
15:00 – 16.15 (1 hour seminar + QA)
“Sala Seminari” - edificio Abacus (U14)
Speaker
Dr. Matteo Hessel
Google DeepMind
Lecture 3: Meta Reinforcement Learning
Abstract
In the final lecture of the seminar series we discuss the different paradigms for "learning to learn" with reinforcement learning. We analyse the challenges of doing so at scale, and describe the fundamental algorithmic and engineering tools to overcome these challenges. We conclude with an overview of the open research questions for this active area of RL research.
Short Bio:
Matteo Hessel is a Staff Research Engineering Manager at Google DeepMind, Honorary Lecturer at University College London, and a co-organizer of the Mediterranean Machine Learning summer school. His research focuses on the integration of deep learning and reinforcement learning methods for building increasingly intelligent agents, capable of mastering a wide range of skills across diverse domains.
contact person for this Seminar: prof. Matteo Palmonari