no code implementations • 11 Sep 2023 • Jean-Baptiste Hervé, Oliver Withington, Marion Hervé, Laurissa Tokarchuk, Christoph Salge
With growing interest in Procedural Content Generation (PCG) it becomes increasingly important to develop methods and tools for evaluating and comparing alternative systems.
no code implementations • 7 Apr 2022 • Jean-Baptiste Hervé, Christoph Salge
Procedural content generation for games is a growing trend in both research and industry, even though there is no consensus of how good content looks, nor how to automatically evaluate it.
1 code implementation • 7 Mar 2022 • Tessa van der Heiden, Herke van Hoof, Efstratios Gavves, Christoph Salge
We consider multi-agent reinforcement learning (MARL) for cooperative communication and coordination tasks.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 22 Dec 2021 • Nicola Catenacci Volpi, Martin Greaves, Dari Trendafilov, Christoph Salge, Giovanni Pezzulo, Daniel Polani
The mastery of skills such as playing tennis or balancing an inverted pendulum implies a very accurate control of movements to achieve the task goals.
no code implementations • 6 Jul 2021 • Jean-Baptiste Hervé, Christoph Salge
There are a range of metrics that can be applied to the artifacts produced by procedural content generation, and several of them come with qualitative claims.
no code implementations • 27 Mar 2021 • Christoph Salge, Michael Cerny Green, Rodrigo Canaan, Filip Skwarski, Rafael Fritsch, Adrian Brightmoore, Shaofang Ye, Changxing Cao, Julian Togelius
This article outlines what we learned from the first year of the AI Settlement Generation Competition in Minecraft, a competition about producing AI programs that can generate interesting settlements in Minecraft for an unseen map.
no code implementations • 25 Aug 2020 • Christoph Salge, Emily Short, Mike Preuss, Spyridion Samothrakis, Pieter Spronck
Live Action Role-Playing (LARP) games and similar experiences are becoming a popular game genre.
no code implementations • 13 Aug 2020 • Marcus M. Scheunemann, Raymond H. Cuijpers, Christoph Salge
We found that Warmth and Competence, among all RoSAS and Godspeed dimensions, are the most important predictors for human preferences between different robot behaviors.
no code implementations • 14 Feb 2020 • Marcus M. Scheunemann, Christoph Salge, Daniel Polani, Kerstin Dautenhahn
A challenge in using robots in human-inhabited environments is to design behavior that is engaging, yet robust to the perturbations induced by human interaction.
no code implementations • 12 Aug 2019 • Philip Bontrager, Ahmed Khalifa, Damien Anderson, Matthew Stephenson, Christoph Salge, Julian Togelius
Deep reinforcement learning has learned to play many games well, but failed on others.
no code implementations • 17 Jun 2019 • Andrei D. Robu, Christoph Salge, Chrystopher L. Nehaniv, Daniel Polani
Clock cascades show a "condensation effect" and the composite clock shows various regimes of markedly different dynamics.
no code implementations • 10 Jun 2019 • Daniel Ashlock, Christoph Salge
At the 2017 Artificial and Computational Intelligence in Games meeting at Dagstuhl, Julian Togelius asked how to make spaces where every way of filling in the details yielded a good game.
no code implementations • 23 May 2019 • Daniel Ashlock, Christoph Salge
Automatic generation of level maps is a popular form of automatic content generation.
no code implementations • 14 May 2019 • Christoph Salge, Christian Guckelsberger, Michael Cerny Green, Rodrigo Canaan, Julian Togelius
We introduce the Chronicle Challenge as an optional addition to the Settlement Generation Challenge in Minecraft.
no code implementations • 17 Mar 2019 • Rodrigo Canaan, Christoph Salge, Julian Togelius, Andy Nealen
The extent to which these games benchmark consist of fair competition between human and AI is also a matter of debate.
1 code implementation • 9 Sep 2018 • Matthew Stephenson, Damien Anderson, Ahmed Khalifa, John Levine, Jochen Renz, Julian Togelius, Christoph Salge
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.
no code implementations • 21 Jun 2018 • Martin Biehl, Christian Guckelsberger, Christoph Salge, Simón C. Smith, Daniel Polani
Research on intrinsic motivations may profit from an additional way to implement intrinsically motivated agents that also share the biological plausibility of active inference.
no code implementations • 4 Jun 2018 • 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.
no code implementations • 27 Mar 2018 • Christoph Salge, Michael Cerny Green, Rodrigo Canaan, Julian Togelius
This paper introduces the settlement generation competition for Minecraft, the first part of the Generative Design in Minecraft challenge.
no code implementations • 27 Mar 2018 • Christoph Salge, Christian Guckelsberger, Rodrigo Canaan, Tobias Mahlmann
Models of intrinsic motivation present an important means to produce sensible behaviour in the absence of extrinsic rewards.
no code implementations • 3 Jun 2014 • Christoph Salge, Cornelius Glackin, Daniel Polani
In this paper we investigate how the information-theoretic measure of agent empowerment can provide a task-independent, intrinsic motivation to restructure the world.
no code implementations • 14 Oct 2013 • Christoph Salge, Daniel Polani
One of the remarkable feats of intelligent life is that it restructures the world it lives in for its own benefit.
2 code implementations • 7 Oct 2013 • Christoph Salge, Cornelius Glackin, Daniel Polani
This book chapter is an introduction to and an overview of the information-theoretic, task independent utility function "Empowerment", which is defined as the channel capacity between an agent's actions and an agent's sensors.