34 citations · 94 across the 29 of their papers we have counts for
8 papers · 1 filter
Efficient Noisy Optimisation with the Sliding Window Compact Genetic Algorithm
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
The compact genetic algorithm is an Estimation of Distribution Algorithm for binary optimisation problems. Unlike the standard Genetic Algorithm, no cross-over or mutation is invol…
Evaluating Noisy Optimisation Algorithms: First Hitting Time is Problematic
Simon M. Lucas, Jialin Liu, Diego Pérez-Liébana
A key part of any evolutionary algorithm is fitness evaluation. When fitness evaluations are corrupted by noise, as happens in many real-world problems as a consequence of various…
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…