| Procedural content generation: better benchmarks for transfer reinforcement learning M Muller-Brockhausen, M Preuss, A Plaat 2021 IEEE Conference on games (CoG), 01-08, 2021 | 16 | 2021 |
| A new challenge: approaching Tetris Link with AI M Müller-Brockhausen, M Preuss, A Plaat 2021 IEEE Conference on games (CoG), 1-8, 2021 | 2 | 2021 |
| Chatter Generation through Language Models M Müller-Brockhausen, G Barbero, M Preuss 2023 IEEE Conference on Games (CoG), 1-6, 2023 | 1 | 2023 |
| EduGym: An Environment Suite for Reinforcement Learning Education TM Moerland, M Müller-Brockhausen, Z Yang, A Bernatavicius, K Ponse, ... arXiv preprint arXiv:2311.10590, 2023 | | 2023 |
| Believable Minecraft Settlements by Means of Decentralised Iterative Planning A Van Der Staaij, J Prins, VL Prins, J Poelsma, T Smit, ... 2023 IEEE Conference on Games (CoG), 1-8, 2023 | | 2023 |
| Transferring While Playing the RL Agent M Müller-Brockhausen, H Plisnier BNAIC/BeNeLearn 2022: Joint International Scientific Conferences on AI and …, 2022 | | 2022 |
| Towards verifiable Benchmarks for Reinforcement Learning M Müller-Brockhausen, A Plaat, M Preuss 2022 IEEE Conference on Games (CoG), 159-166, 2022 | | 2022 |
| Mimicking the Human Approach in the Game of Hive D Kampert, AL Varbanescu, M Müller-Brockhausen, A Plaat 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021 | | 2021 |
| Accelerating Multi-Agent Learning via Centralized Counting and Efficient Hashing J Wang, M Müller-Brockhausen, A Plaat | | |
