| 2026 | AAAI | Explanations for Sequential Decision-Making - an Overview. | Hendrik Baier, Mark T. Keane, Sarath Sreedharan, Silvia Tulli, Abhinav Verma |
| 2025 | CPAIOR | Algorithm Configuration in Sequential Decision-Making. | Luca Begnardi, Bart von Meijenfeldt, Yingqian Zhang, Willem van Jaarsveld, Hendrik Baier |
| 2025 | IJCAI | InnateCoder: Learning Programmatic Options with Foundation Models. | Rubens O. Moraes, Quazi Asif Sadmine, Hendrik Baier, Levi H. S. Lelis |
| 2024 | ECAI | Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic. | Ziyan An, Hendrik Baier, Abhishek Dubey, Ayan Mukhopadhyay, Meiyi Ma |
| 2023 | ACML | Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking. | Luca Begnardi, Hendrik Baier, Willem van Jaarsveld, Yingqian Zhang |
| 2023 | IJCAI | BRExIt: On Opponent Modelling in Expert Iteration. | Daniel Hernandez, Hendrik Baier, Michael Kaisers |
| 2022 | IJCAI | Online Planning in POMDPs with Self-Improving Simulators. | Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek |
| 2021 | GECCO | Novelty and MCTS. | Hendrik Baier, Michael Kaisers |
| 2021 | IJCAI | ME-MCTS: Online Generalization by Combining Multiple Value Estimators. | Hendrik Baier, Michael Kaisers |
| 2020 | FDG | Opponent-Pruning Paranoid Search. | Hendrik Baier, Michael Kaisers |
| 2018 | IJCAI | MCTS-Minimax Hybrids with State Evaluations (Extended Abstract). | Hendrik Baier, Mark H. M. Winands |
| 2016 | IJCAI | A Rollout-Based Search Algorithm Unifying MCTS and Alpha-Beta. | Hendrik Baier |
| 2014 | ECAI | Monte-Carlo Tree Search and Minimax Hybrids with Heuristic Evaluation Functions. | Hendrik Baier, Mark H. M. Winands |
| 2012 | ECAI | Nested Monte-Carlo Tree Search for Online Planning in Large MDPs. | Hendrik Baier, Mark H. M. Winands |