Practical introduction to Reinforcement Learning | Studencki Festiwal Informatyczny

16th SFI Academic IT Festival

26 - 28 March 2020 | Auditorium Maximum UJ
16 edition 2020

Practical introduction to Reinforcement Learning

Type: Workshop
Day: 22/03/2019 time: 10:00
Class: Starliner 3.27a
Duration: 180 minutes
Language: Polish
SFI Edition: 15
Topic

Practical introduction to Reinforcement Learning

Entry
Finished
Abstract

At the workshop, we will create an agent who will learn to solve simple Reinforcement Learning environments. We will only introduce the necessary minimum of theoretical basis and then we will focus on practical exercises.

Participants will have to complete the fragments of code and then test the agent’s learning with different parameters and analyze the results.

Requirements Knowledge

Mile widziane ogólne pojęcie o:

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

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