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Johannes Czech
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2020 – today
- 2024
- [c2]Johannes Czech
, Jannis Blüml
Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers. ECAI 2024: 2378-2385 - [i6]Felix Helfenstein
Checkmating One, by Using Many: Combining Mixture of Experts with MCTS to Improve in Chess. CoRR abs/2401.16852 (2024) - 2023
- [j2]Jannis Blüml, Johannes Czech, Kristian Kersting:
AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong. Frontiers Artif. Intell. 6 (2023) - [i5]Johannes Czech, Jannis Blüml, Kristian Kersting:
Representation Matters: The Game of Chess Poses a Challenge to Vision Transformers. CoRR abs/2304.14918 (2023) - [i4]Jannis Weil, Johannes Czech, Tobias Meuser, Kristian Kersting:
Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman. CoRR abs/2305.13206 (2023) - 2021
- [c1]Johannes Czech, Patrick Korus, Kristian Kersting:
Improving AlphaZero Using Monte-Carlo Graph Search. ICAPS 2021: 103-111 - [i3]Maximilian Otte, Quentin Delfosse, Johannes Czech, Kristian Kersting:
Generative Adversarial Neural Cellular Automata. CoRR abs/2108.04328 (2021) - 2020
- [j1]Johannes Czech, Moritz Willig, Alena Beyer, Kristian Kersting, Johannes Fürnkranz:
Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data. Frontiers Artif. Intell. 3: 24 (2020) - [i2]Johannes Czech, Patrick Korus, Kristian Kersting:
Monte-Carlo Graph Search for AlphaZero. CoRR abs/2012.11045 (2020)
2010 – 2019
- 2019
- [i1]Johannes Czech, Moritz Willig, Alena Beyer, Kristian Kersting, Johannes Fürnkranz:
Learning to play the Chess Variant Crazyhouse above World Champion Level with Deep Neural Networks and Human Data. CoRR abs/1908.06660 (2019)
Coauthor Index
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last updated on 2024-11-07 20:36 CET by the dblp team
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