Ensemble Decision Systems for general video game playing

Damien Anderson, Philip Rodgers, John Levine, Cristina Guerrero-Romero, Diego Perez-Liebana

Research output: Contribution to conference › Paper

Abstract

Ensemble Decision Systems offer a unique form of decision making that allows a collection of algorithms to reason together about a problem. Each individual algorithm has its own inherent strengths and weaknesses, and often it is difficult to overcome the weaknesses, while retaining the strengths. Instead of altering the properties of the algorithm, the Ensemble Decision System augments the performance with other algorithms that have complementing strengths. This work outlines different options for building an Ensemble Decision System as well as providing analysis on its performance compared to the individual components of the system with interesting results, showing an increase in the generality of the algorithms without significantly impeding performance.
LanguageEnglish
Number of pages8
Publication statusPublished - 23 Aug 2019
EventIEEE Conference on Games (COG) 2019 - London, United Kingdom
Duration: 20 Aug 2019 → 23 Aug 2019
http://ieee-cog.org/

Conference

ConferenceIEEE Conference on Games (COG) 2019
CountryUnited Kingdom
CityLondon
Period20/08/19 → 23/08/19
Internet address

Fingerprint

Decision making

Keywords

  • GVGAI
  • GVGP
  • game AI
  • Ensemble Decision Systems

Cite this

Anderson, D., Rodgers, P., Levine, J., Guerrero-Romero, C., & Perez-Liebana, D. (2019). Ensemble Decision Systems for general video game playing. Paper presented at IEEE Conference on Games (COG) 2019, London, United Kingdom.
Anderson, Damien ; Rodgers, Philip ; Levine, John ; Guerrero-Romero, Cristina ; Perez-Liebana, Diego. / Ensemble Decision Systems for general video game playing. Paper presented at IEEE Conference on Games (COG) 2019, London, United Kingdom.8 p.
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Anderson, D, Rodgers, P, Levine, J, Guerrero-Romero, C & Perez-Liebana, D 2019, 'Ensemble Decision Systems for general video game playing' Paper presented at IEEE Conference on Games (COG) 2019, London, United Kingdom, 20/08/19 - 23/08/19, .

Ensemble Decision Systems for general video game playing. / Anderson, Damien; Rodgers, Philip; Levine, John; Guerrero-Romero, Cristina ; Perez-Liebana, Diego.

2019. Paper presented at IEEE Conference on Games (COG) 2019, London, United Kingdom.

Research output: Contribution to conference › Paper

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T1 - Ensemble Decision Systems for general video game playing

AU - Anderson, Damien

AU - Rodgers, Philip

AU - Levine, John

AU - Guerrero-Romero, Cristina

AU - Perez-Liebana, Diego

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N2 - Ensemble Decision Systems offer a unique form of decision making that allows a collection of algorithms to reason together about a problem. Each individual algorithm has its own inherent strengths and weaknesses, and often it is difficult to overcome the weaknesses, while retaining the strengths. Instead of altering the properties of the algorithm, the Ensemble Decision System augments the performance with other algorithms that have complementing strengths. This work outlines different options for building an Ensemble Decision System as well as providing analysis on its performance compared to the individual components of the system with interesting results, showing an increase in the generality of the algorithms without significantly impeding performance.

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Anderson D, Rodgers P, Levine J, Guerrero-Romero C, Perez-Liebana D. Ensemble Decision Systems for general video game playing. 2019. Paper presented at IEEE Conference on Games (COG) 2019, London, United Kingdom.

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