7 citations · 23 across the 9 of their papers we have counts for
21 papers
Automated Isovist Computation for Minecraft
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 eval…
Reliably Re-Acting to Partner's Actions with the Social Intrinsic Motivation of Transfer Empowerment
Tessa van der Heiden, Herke van Hoof, Efstratios Gavves +1
We consider multi-agent reinforcement learning (MARL) for cooperative communication and coordination tasks. MARL agents can be brittle because they can overfit their training partn…
Impressions of the GDMC AI Settlement Generation Challenge in Minecraft
Christoph Salge, Claus Aranha, Adrian Brightmoore +15
The GDMC AI settlement generation challenge is a PCG competition about producing an algorithm that can create an "interesting" Minecraft settlement for a given map. This paper cont…
Comparing PCG metrics with Human Evaluation in Minecraft Settlement Generation
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. In this paper, we ada…
The AI Settlement Generation Challenge in Minecraft: First Year Report
Christoph Salge, Michael Cerny Green, Rodrigo Canaan +6
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 inte…
Robust Multi-Agent Reinforcement Learning with Social Empowerment for Coordination and Communication
T. van der Heiden, C. Salge, E. Gavves +1
We consider the problem of robust multi-agent reinforcement learning (MARL) for cooperative communication and coordination tasks. MARL agents, mainly those trained in a centralized…