activity
20182020
most citedEfficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best

17 citations · 21 across the 3 of their papers we have counts for

collaborators

9 papers

cs.AI20204 cited

Design and Implementation of TAG: A Tabletop Games Framework

Raluca D. Gaina, Martin Balla, Alexander Dockhorn +2

This document describes the design and implementation of the Tabletop Games framework (TAG), a Java-based benchmark for developing modern board games for AI research. TAG provides…

cs.AI2020

Rolling Horizon NEAT for General Video Game Playing

Diego Perez-Liebana, Muhammad Sajid Alam, Raluca D. Gaina

This paper presents a new Statistical Forward Planning (SFP) method, Rolling Horizon NeuroEvolution of Augmenting Topologies (rhNEAT). Unlike traditional Rolling Horizon Evolution,…

cs.AI2020

Rolling Horizon Evolutionary Algorithms for General Video Game Playing

Raluca D. Gaina, Sam Devlin, Simon M. Lucas +1

Game-playing Evolutionary Algorithms, specifically Rolling Horizon Evolutionary Algorithms, have recently managed to beat the state of the art in win rate across many video games.…

cs.AI2019

Learning Local Forward Models on Unforgiving Games

Alexander Dockhorn, Simon M. Lucas, Vanessa Volz +3

This paper examines learning approaches for forward models based on local cell transition functions. We provide a formal definition of local forward models for which we propose two…

cs.AI2019

"Did You Hear That?" Learning to Play Video Games from Audio Cues

Raluca D. Gaina, Matthew Stephenson

Game-playing AI research has focused for a long time on learning to play video games from visual input or symbolic information. However, humans benefit from a wider array of sensor…

cs.AI2019

Project Thyia: A Forever Gameplayer

Raluca D. Gaina, Simon M. Lucas, Diego Perez-Liebana

The space of Artificial Intelligence entities is dominated by conversational bots. Some of them fit in our pockets and we take them everywhere we go, or allow them to be a part of…