venerdì 15 marzo 2019Dalle 11:30Deep Reinforcement Learning and Artificial Intelligence


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Deep Learning and Reinforcement Learning have emerged in recent years as two of the core areas of research in Artificial Intelligence. In this talk we will present the fundamental ideas underlying reinforcement learning algorithms, the specific challenges that emerge when combining Reinforcement Learning and Deep Learning, highlighting open problems and promising directions of research.

Matteo Hessel is a Research Engineer at DeepMind. His research focuses on building general artificial agents, capable of learning to perform a variety of complex tasks. He believes that the combination of Deep Learning techniques with Reinforcement Learning will be a crucial component in order to achieve this. Past work includes specialized deep learning architectures for Reinforcement Learning (Dueling Networks, PopArt and Predictron), and the combination of multiple algorithmic components in a single integrated agent (Rainbow). He loves teaching.

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Politecnico di Milano

Date e orari

venerdì 15 marzo 2019
Dalle 11:30


Politecnico di Milano, Aula De Donato

Piazza Leonardo da Vinci, 32