Monte-Carlo Graph Search for AlphaZero. - Johannes Czech; Patrick Korus; Kristian Kersting (CoRR, 2020)

Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data. - Johannes Czech; Moritz Willig; Alena Beyer; Kristian Kersting; Johannes Fürnkranz (Frontiers Artif. Intell., 2020)

Improving AlphaZero Using Monte-Carlo Graph Search. - Johannes Czech; Patrick Korus; Kristian Kersting (ICAPS, 2021)

Generative Adversarial Neural Cellular Automata. - Maximilian Otte; Quentin Delfosse; Johannes Czech; Kristian Kersting (CoRR, 2021)

Representation Matters: The Game of Chess Poses a Challenge to Vision Transformers. - Johannes Czech; Jannis Blüml; Kristian Kersting (CoRR, 2023)

Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman. - Jannis Weil; Johannes Czech; Tobias Meuser; Kristian Kersting (CoRR, 2023)

AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong. - Jannis Blüml; Johannes Czech; Kristian Kersting (Frontiers Artif. Intell., 2023)

Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers. - Johannes Czech; Jannis Blüml; Kristian Kersting; Hedinn Steingrimsson (ECAI, 2024)

Checkmating One, by Using Many: Combining Mixture of Experts with MCTS to Improve in Chess. - Felix Helfenstein; Jannis Blüml; Johannes Czech; Kristian Kersting (CoRR, 2024)