A Continuous Information Gain Measure to Find the Most Discriminatory
Problems for AI Benchmarking

v1v2v3 (latest)

A Continuous Information Gain Measure to Find the Most Discriminatory Problems for AI Benchmarking

9 September 2018

Matthew Stephenson

Damien Anderson

Julian Togelius

Christoph Salge

ArXiv (abs)PDF HTML

Papers citing "A Continuous Information Gain Measure to Find the Most Discriminatory Problems for AI Benchmarking"

8 / 8 papers shown

Title
Measuring Board Game Distance Matthew Stephenson Dennis J. N. J. Soemers Éric Piette C. Browne 53 5 0 10 Jan 2023
Visualising Multiplayer Game Spaces J. Goodman Diego Perez-Liebana Simon Lucas 13 4 0 11 Feb 2022
Comparing PCG metrics with Human Evaluation in Minecraft Settlement Generation Jean-Baptiste Hervé Christoph Salge 60 12 0 06 Jul 2021
General Board Game Concepts Éric Piette Matthew Stephenson Dennis J. N. J. Soemers C. Browne 67 13 0 02 Jul 2021
Rolling Horizon Evolutionary Algorithms for General Video Game Playing Raluca D. Gaina Sam Devlin Simon Lucas Diego Perez-Liebana 82 22 0 27 Mar 2020
Ensemble Decision Systems for General Video Game Playing Damien Anderson Cristina Guerrero-Romero Diego Perez-Liebana Phil Rodgers J. Levine 13 3 0 26 May 2019
Agent-Based Adaptive Level Generation for Dynamic Difficulty Adjustment in Angry Birds Matthew Stephenson Jochen Renz 31 8 0 07 Feb 2019
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms Diego Perez-Liebana Jialin Liu Ahmed Khalifa Raluca D. Gaina Julian Togelius Simon Lucas 138 175 0 28 Feb 2018