AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong J Blüml, J Czech, K Kersting Frontiers in artificial intelligence 6, 1014561, 2023 | 7 | 2023 |
Ocatari: Object-centric atari 2600 reinforcement learning environments Q Delfosse, J Blüml, B Gregori, S Sztwiertnia, K Kersting arXiv preprint arXiv:2306.08649, 2023 | 6 | 2023 |
HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning Q Delfosse, J Blüml, B Gregori, K Kersting arXiv preprint arXiv:2406.03997, 2024 | 1 | 2024 |
Representation Matters: The Game of Chess Poses a Challenge to Vision Transformers J Czech, J Blüml, K Kersting arXiv preprint arXiv:2304.14918, 2023 | 1 | 2023 |
OCALM: Object-Centric Assessment with Language Models T Kaufmann, J Blüml, A Wüst, Q Delfosse, K Kersting, E Hüllermeier arXiv preprint arXiv:2406.16748, 2024 | | 2024 |
Amplifying Exploration in Monte-Carlo Tree Search by Focusing on the Unknown C Derstroff, J Brugger, J Blüml, M Mezini, S Kramer, K Kersting arXiv preprint arXiv:2402.08511, 2024 | | 2024 |
Checkmating One, by Using Many: Combining Mixture of Experts with MCTS to Improve in Chess F Helfenstein, J Blüml, J Czech, K Kersting arXiv preprint arXiv:2401.16852, 2024 | | 2024 |
From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex? Y Keller, J Blüml, G Sudhakaran, K Kersting arXiv preprint arXiv:2311.13414, 2023 | | 2023 |