Praktyczny wstęp do Reinforcement Learning | Studencki Festiwal Informatyczny

16. Studencki Festiwal Informatyczny

26 - 28 Marca 2020 | Auditorium Maximum UJ
16 edycja 2020

Praktyczny wstęp do Reinforcement Learning

Typ: Warsztaty

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Dzień: 22/03/2019 godzina: 10:00
Sala: Starliner 3.27a
Czas trwania: 180 minut

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Język: Polski
Edycja: 15
Temat

Praktyczny wstęp do Reinforcement Learning

Zapisy
Zakończone
Abstrakt

Na warsztatach stworzymy agenta, który nauczy się rozwiązywać proste środowiska Reinforcement Learning. Wprowadzimy jedynie potrzebne minimum podstaw teoretycznych, a następnie skupimy się na ćwiczeniach praktycznych.

Uczestnicy będą mieli za zadanie uzupełniać fragmenty kodu, a następnie testować uczenie agenta z różnymi parametrami oraz analizować wyniki.

Wymagania Umiejętności

Mile widziane ogólne pojęcie o:

  • Machine Learning’u
  • numpy oraz pytorch/tensorflow
Wymagania Techniczne
  • komputer z rozsądną ilością CPU/RAM
  • Linux (Windows/Mac na własną odpowiedzialność)
  • Python 3

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