Search Results for author: Matthias Müller-Brockhausen

Found 4 papers, 1 papers with code

EduGym: An Environment and Notebook Suite for Reinforcement Learning Education

1 code implementation17 Nov 2023 Thomas M. Moerland, Matthias Müller-Brockhausen, Zhao Yang, Andrius Bernatavicius, Koen Ponse, Tom Kouwenhoven, Andreas Sauter, Michiel van der Meer, Bram Renting, Aske Plaat

To solve this issue we introduce EduGym, a set of educational reinforcement learning environments and associated interactive notebooks tailored for education.

reinforcement-learning

Believable Minecraft Settlements by Means of Decentralised Iterative Planning

no code implementations19 Sep 2023 Arthur van der Staaij, Jelmer Prins, Vincent L. Prins, Julian Poelsma, Thera Smit, Matthias Müller-Brockhausen, Mike Preuss

Procedural city generation that focuses on believability and adaptability to random terrain is a difficult challenge in the field of Procedural Content Generation (PCG).

Reliable validation of Reinforcement Learning Benchmarks

no code implementations2 Mar 2022 Matthias Müller-Brockhausen, Aske Plaat, Mike Preuss

Reinforcement Learning (RL) is one of the most dynamic research areas in Game AI and AI as a whole, and a wide variety of games are used as its prominent test problems.

Benchmarking Data Compression +3

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