216 citations · 396 across the 26 of their papers we have counts for
6 papers · 1 filter
A Continuous Information Gain Measure to Find the Most Discriminatory Problems for AI Benchmarking
Matthew Stephenson, Damien Anderson, Ahmed Khalifa +4
This paper introduces an information-theoretic method for selecting a subset of problems which gives the most information about a group of problem-solving algorithms. This method w…
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
Martin Biehl, Christian Guckelsberger, Christoph Salge +2
Active inference is an ambitious theory that treats perception, inference and action selection of autonomous agents under the heading of a single principle. It suggests biologicall…
New And Surprising Ways to Be Mean. Adversarial NPCs with Coupled Empowerment Minimisation
Christian Guckelsberger, Christoph Salge, Julian Togelius
Creating Non-Player Characters (NPCs) that can react robustly to unforeseen player behaviour or novel game content is difficult and time-consuming. This hinders the design of belie…
Accelerating Empowerment Computation with UCT Tree Search
Christoph Salge, Christian Guckelsberger, Rodrigo Canaan +1
Models of intrinsic motivation present an important means to produce sensible behaviour in the absence of extrinsic rewards. Applications in video games are varied, and range from…
Generative Design in Minecraft (GDMC), Settlement Generation Competition
Christoph Salge, Michael Cerny Green, Rodrigo Canaan +1
This paper introduces the settlement generation competition for Minecraft, the first part of the Generative Design in Minecraft challenge. The settlement generation competition is…
Deceptive Games
Damien Anderson, Matthew Stephenson, Julian Togelius +3
Deceptive games are games where the reward structure or other aspects of the game are designed to lead the agent away from a globally optimal policy. While many games are already d…