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

From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex? - Yannik Keller; Jannis Blüml; Gopika Sudhakaran; 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)

OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments. - Quentin Delfosse; Jannis Blüml; Bjarne Gregori; Sebastian Sztwiertnia; Kristian Kersting (RLJ, 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)

Amplifying Exploration in Monte-Carlo Tree Search by Focusing on the Unknown. - Cedric Derstroff; Jannis Brugger; Jannis Blüml; Mira Mezini; Stefan Kramer 001; Kristian Kersting (CoRR, 2024)

HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning. - Quentin Delfosse; Jannis Blüml; Bjarne Gregori; Kristian Kersting (CoRR, 2024)

OCALM: Object-Centric Assessment with Language Models. - Timo Kaufmann; Jannis Blüml; Antonia Wüst; Quentin Delfosse; Kristian Kersting; Eyke Hüllermeier (CoRR, 2024)

Polynomial Regret Concentration of UCB for Non-Deterministic State Transitions. - Can Cömer; Jannis Blüml; Cedric Derstroff; Kristian Kersting (CoRR, 2025)

Deep Reinforcement Learning via Object-Centric Attention. - Jannis Blüml; Cedric Derstroff; Bjarne Gregori; Elisabeth Dillies; Quentin Delfosse; Kristian Kersting (CoRR, 2025)

Better Decisions through the Right Causal World Model. - Elisabeth Dillies; Quentin Delfosse; Jannis Blüml; Raban Emunds; Florian Peter Busch; Kristian Kersting (CoRR, 2025)

Deep Reinforcement Learning Agents are not even close to Human Intelligence. - Quentin Delfosse; Jannis Blüml; Fabian Tatai; Théo Vincent; Bjarne Gregori; Elisabeth Dillies; Jan Peters 001; Constantin A. Rothkopf; Kristian Kersting (CoRR, 2025)