Ensemble Decision Systems for general video game playing

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

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)
27 Downloads (Pure)


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.
Original languageEnglish
Number of pages8
Publication statusPublished - 23 Aug 2019
EventIEEE Conference on Games (COG) 2019 - London, United Kingdom
Duration: 20 Aug 201923 Aug 2019


ConferenceIEEE Conference on Games (COG) 2019
Country/TerritoryUnited Kingdom
Internet address


  • GVGP
  • game AI
  • Ensemble Decision Systems


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