General Video Game AI: Competition, Challenges and Opportunities

Author:

Perez-Liebana Diego,Samothrakis Spyridon,Togelius Julian,Schaul Tom,Lucas Simon

Abstract

The General Video Game AI framework and competition pose the problem of creating artificial intelligence that can play a wide, and in principle unlimited, range of games. Concretely, it tackles the problem of devising an algorithm that is able to play any game it is given, even if the game is not known a priori. This area of study can be seen as an approximation of General Artificial Intelligence, with very little room for game-dependent heuristics. This short paper summarizes the motivation, infrastructure, results and future plans of General Video Game AI, stressing the findings and first conclusions drawn after two editions of our competition, and outlining our future plans.

Publisher

Association for the Advancement of Artificial Intelligence (AAAI)

Subject

General Medicine

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1. Playing With Monte-Carlo Tree Search [AI-eXplained];IEEE Computational Intelligence Magazine;2024-02

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3. Naruto Mobile: AI Sparring Partner Using Heterogeneous Deep Reinforcement Learning;2023 IEEE Conference on Games (CoG);2023-08-21

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5. Learning Controllable 3D Level Generators;FDG '22: Proceedings of the 17th International Conference on the Foundations of Digital Games;2022-09-05

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