Reinforcement Learning 101 with a Virtual Reality Game

Youri Coppens, Eugenio Bargiacchi, Ann Nowe

Research output: Unpublished contribution to conference › Unpublished paper

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Abstract

Our proof-of-concept demonstrates how Virtual Reality can be used to explain the basic concepts of Reinforcement Learning. This application visualizes the learning process of Watkins' Q(λ), a fundamental algorithm in the field, in the form of an interactive treasure hunt game. A player takes the role of an autonomous agent, and must learn the shortest path to a hidden treasure through experience. The application also allows an audience to follow the game from an external display.
Original languageEnglish
Number of pages4
Publication statusUnpublished - 11 Aug 2019
Event1st International Workshop on Education in Artificial Intelligence K-12: held in conjunction with IJCAI-2019 - Venetian Macao Hotel Resort, Cotai, Macao
Duration: 11 Aug 2019 → 11 Aug 2019
http://eduai19.ist.tugraz.at/

Workshop

Workshop1st International Workshop on Education in Artificial Intelligence K-12
Abbreviated titleEduAI-19
CountryMacao
CityCotai
Period11/08/19 → 11/08/19
Internet address

Keywords

  • Reinforcement Learning
  • education
  • Virtual Reality
  • serious game
  • Q-learning

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