Rogueinabox: a Rogue environment for AI learning. Framework development and Agents design.

Pedrini, Gianmaria (2017) Rogueinabox: a Rogue environment for AI learning. Framework development and Agents design. [Laurea], Università di Bologna, Corso di Studio in Informatica [L-DM270]
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Abstract

In this thesis we introduce Rogueinabox: a higly modular learning environment built around the videogame Rogue, the father of the roguelike genre. It offers easy ways to interact with the game and a whole framework to build, customize and run learning agents. We discuss the interest and challengies of this game for machine learning and deep learning, and discuss our initial experiments of training. We show the userfulness and convenience of Rogueinabox employing it in combination with QLearning tecniques to build an agent that explores the dungeon.

Abstract
Tipologia del documento
Tesi di laurea (Laurea)
Autore della tesi
Pedrini, Gianmaria
Relatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Rogueinabox,Rogue,Reinforcement Learning,QLearning,Machine Learning,Learning Environment,AI,roguelike,Agent,maze exploration
Data di discussione della Tesi
12 Luglio 2017
URI

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