# Ensemble Decision Systems for General Video Game Playing

## TL;DR

This paper explores ensemble decision systems that combine multiple algorithms to improve general video game playing, demonstrating increased versatility without significant performance loss.

## Contribution

It introduces various methods for constructing ensemble decision systems and analyzes their performance relative to individual algorithms.

## Key findings

- Ensemble systems increase algorithm generality
- Performance is maintained with ensemble methods
- Different ensemble configurations show varied effectiveness

## 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.