Loading [a11y]/accessibility-menu.js
Deep Reinforcement Learning in Match-3 Game | IEEE Conference Publication | IEEE Xplore

Deep Reinforcement Learning in Match-3 Game


Abstract:

An increasing number of algorithms in deep reinforcement learning area creates new challenges for environments, particularly, for their comprehensive analysis and searchi...Show More

Abstract:

An increasing number of algorithms in deep reinforcement learning area creates new challenges for environments, particularly, for their comprehensive analysis and searching application areas. The key purpose of this article is to provide an extensible environment for researches. We consider a Match-3 game, which has simple gameplay, but challenging game design for engaging players. The article provides metrics for evaluation of agents and corresponding baselines in different scenarios.
Date of Conference: 20-23 August 2019
Date Added to IEEE Xplore: 26 September 2019
ISBN Information:

ISSN Information:

Conference Location: London, UK

References

References is not available for this document.