34 citations · 94 across the 29 of their papers we have counts for
6 papers · 2 filters
The N-Tuple Bandit Evolutionary Algorithm for Automatic Game Improvement
Kamolwan Kunanusont, Raluca D. Gaina, Jialin Liu +2
This paper describes a new evolutionary algorithm that is especially well suited to AI-Assisted Game Design. The approach adopted in this paper is to use observations of AI agents…
Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing
Raluca D. Gaina, Jialin Liu, Simon M. Lucas +1
Monte Carlo Tree Search techniques have generally dominated General Video Game Playing, but recent research has started looking at Evolutionary Algorithms and their potential at ma…
Evaluating and Modelling Hanabi-Playing Agents
Joseph Walton-Rivers, Piers R. Williams, Richard Bartle +2
Agent modelling involves considering how other agents will behave, in order to influence your own actions. In this paper, we explore the use of agent modelling in the hidden-inform…
General Video Game AI: Learning from Screen Capture
Kamolwan Kunanusont, Simon M. Lucas, Diego Perez-Liebana
General Video Game Artificial Intelligence is a general game playing framework for Artificial General Intelligence research in the video-games domain. In this paper, we propose for…
Population Seeding Techniques for Rolling Horizon Evolution in General Video Game Playing
Rauca D. Gaina, Simon M. Lucas, Diego Perez-Liebana
While Monte Carlo Tree Search and closely related methods have dominated General Video Game Playing, recent research has demonstrated the promise of Rolling Horizon Evolutionary Al…
Evolving Game Skill-Depth using General Video Game AI Agents
Jialin Liu, Julian Togelius, Diego Perez-Liebana +1
Most games have, or can be generalised to have, a number of parameters that may be varied in order to provide instances of games that lead to very different player experiences. The…