[Forum SIS] Minicourse on Reinforcement Learning - Università di Trento

Claudio Agostinelli claudio.agostinelli a unitn.it
Mar 19 Gen 2021 09:44:57 CET


[English version below]
Il Dipartimento di Matematica dell'Università di Trento organizza
all'interno del corso di laurea magistrale in Matematica, percorso
Matematica per la Data Science, il crash course

Reinforcement Learning: the way machines learn

tenuto dal Prof. Maurizio Parton (Università di Chieti-Pescara), nei
giorni 27, 29 gennaio e 3, 5 febbraio 2021.

Il corso sarà in remoto e in lingua inglese.

La partecipazione è gratuita, ma è necessaria la registrazione, mandando
un'email a luigiamedeo.bianchi a unitn.it
Il numero di posti disponibili per partecipanti esterni è limitato.

Ulteriori informazioni alla pagina
http://datascience.maths.unitn.it/events/rl2021/


The Department of Mathematics at the University of Trento organises
within the Master's program in Mathematics, track Mathematics for Data
Science, the crash course

Reinforcement Learning: the way machines learn

held by Prof. Maurizio Parton (University of Chieti-Pescara),
on Jan. 27 and 29, and Feb. 3 and 5, 2021.

The course will take place online and will be given in English.

Participation is free of charge, but registration is required. To
register, send an email to
luigiamedeo.bianchi a unitn.it
The number of places available for external participants is limited.

Abstract:
Reinforcement Learning (RL) is a machine learning technique where an
agent learns to solve a decision problem by performing actions and
assessing their results. RL has been acknowledged as a breakthrough
technology by MIT in 2017. We will study the fundamentals of RL and will
sketch the latest methods used to solve a variety of complex tasks, from
gaming to computer science, finance, and robotics. This is a 12h crash
course intended for students with a background in probability. The
course is comprised of theory, applications and assignments. Some
experience with Python may prove useful to fully profit from the
exercises and assignments.

Further information available on the following webpage:
http://datascience.maths.unitn.it/events/rl2021/


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