AMaze: a benchmark generator for sighted maze-navigating agents

The Journal of Open Source Software, vol. 10, pp. 7208

Abstract

The need to provide fair comparisons between agents, especially in the field of Reinforcement Learning, has led to a plethora of benchmarks.While these are devoted to tailor-made problems, they offer with very little degrees of freedom for the experimenter.AMaze is instead a benchmark generator capable of producing human-intelligible environments of arbitrarily high complexity.By using visual cues in a maze-navigation task, the library empowers researchers across a large range of fields.

Authors 3

1. Kevin Godin-Dubois

   Vrije Universiteit Amsterdam

   Affiliation as printed

   Vrije Universiteit Amsterdam, The Netherlands

2. Karine Miras

   Vrije Universiteit Amsterdam

   Affiliation as printed

   Vrije Universiteit Amsterdam, The Netherlands

3. Anna V. Kononova Aachen

   Leiden University

   Affiliation as printed

   Leiden University, The Netherlands