The Power of Forgetting: Improving the Last-Good-Reply Policy in Monte Carlo Go. - Hendrik Baier; Peter D. Drake (IEEE Trans. Comput. Intell. AI Games, 2010)

Time Management for Monte-Carlo Tree Search in Go. - Hendrik Baier; Mark H. M. Winands (ACG, 2011)

Beam Monte-Carlo Tree Search. - Hendrik Baier; Mark H. M. Winands (CIG, 2012)

Nested Monte-Carlo Tree Search for Online Planning in Large MDPs. - Hendrik Baier; Mark H. M. Winands (ECAI, 2012)

Monte-Carlo Tree Search and minimax hybrids. - Hendrik Baier; Mark H. M. Winands (CIG, 2013)

Monte-Carlo Tree Search and Minimax Hybrids with Heuristic Evaluation Functions. - Hendrik Baier; Mark H. M. Winands (CGW@ECAI, 2014)

MCTS-Minimax Hybrids. - Hendrik Baier; Mark H. M. Winands (IEEE Trans. Comput. Intell. AI Games, 2015)

A Rollout-Based Search Algorithm Unifying MCTS and Alpha-Beta. - Hendrik Baier (CGW@IJCAI, 2016)

Time Management for Monte Carlo Tree Search. - Hendrik Baier; Mark H. M. Winands (IEEE Trans. Comput. Intell. AI Games, 2016)

Decentralised Online Planning for Multi-Robot Warehouse Commissioning. - Daniel Claes; Frans A. Oliehoek; Hendrik Baier; Karl Tuyls (AAMAS, 2017)

Evolutionary MCTS with Flexible Search Horizon. - Hendrik Baier; Peter I. Cowling (AIIDE, 2018)

Evolutionary MCTS for Multi-Action Adversarial Games. - Hendrik Baier; Peter I. Cowling (CIG, 2018)

MCTS-Minimax Hybrids with State Evaluations (Extended Abstract). - Hendrik Baier; Mark H. M. Winands (IJCAI, 2018)

MCTS-Minimax Hybrids with State Evaluations. - Hendrik Baier; Mark H. M. Winands (J. Artif. Intell. Res., 2018)

The Text-Based Adventure AI Competition. - Timothy Atkinson 001; Hendrik Baier; Tara Copplestone; Sam Devlin; Jerry Swan (IEEE Trans. Games, 2019)

Emulating Human Play in a Leading Mobile Card Game. - Hendrik Baier; Adam Sattaur; Edward J. Powley; Sam Devlin; Jeff Rollason; Peter I. Cowling (IEEE Trans. Games, 2019)

Guiding Multiplayer MCTS by Focusing on Yourself. - Hendrik Baier; Michael Kaisers (CoG, 2020)

Opponent-Pruning Paranoid Search. - Hendrik Baier; Michael Kaisers (FDG, 2020)

Novelty and MCTS. - Hendrik Baier; Michael Kaisers (GECCO Companion, 2021)

ME-MCTS: Online Generalization by Combining Multiple Value Estimators. - Hendrik Baier; Michael Kaisers (IJCAI, 2021)

Online Planning in POMDPs with Self-Improving Simulators. - Jinke He; Miguel Suau; Hendrik Baier; Michael Kaisers; Frans A. Oliehoek (IJCAI, 2022)

Value targets in off-policy AlphaZero: a new greedy backup. - Daniel Willemsen; Hendrik Baier; Michael Kaisers (Neural Comput. Appl., 2022)

Correction to: Value targets in off-policy AlphaZero: a new greedy backup. - Daniel Willemsen; Hendrik Baier; Michael Kaisers (Neural Comput. Appl., 2022)

Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking. - Luca Begnardi; Hendrik Baier; Willem van Jaarsveld; Yingqian Zhang 001 (ACML, 2023)

BRExIt: On Opponent Modelling in Expert Iteration. - Daniel Hernandez; Hendrik Baier; Michael Kaisers (IJCAI, 2023)

Decision Making in Non-Stationary Environments with Policy-Augmented Search. - Ava Pettet; Yunuo Zhang; Baiting Luo; Kyle Hollins Wray; Hendrik Baier; Aron Laszka; Abhishek Dubey; Ayan Mukhopadhyay (AAMAS, 2024)

Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic. - Ziyan An; Hendrik Baier; Abhishek Dubey; Ayan Mukhopadhyay; Meiyi Ma (ECAI, 2024)

MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning. - Florian Felten; Umut Ucak; Hicham Azmani; Gao Peng; Willem Röpke; Hendrik Baier; Patrick Mannion; Diederik M. Roijers; Jordan K. Terry; El-Ghazali Talbi; Grégoire Danoy; Ann Nowé; et al. (CoRR, 2024)

Explainable AI for Sequential Decision Making (Dagstuhl Seminar 24372). - Hendrik Baier; Mark T. Keane; Sarath Sreedharan; Silvia Tulli; Abhinav Verma; Stylianos Loukas Vasileiou (Dagstuhl Reports, 2024)

Language Models Speed Up Local Search for Finding Programmatic Policies. - Quazi Asif Sadmine; Hendrik Baier; Levi Lelis (Trans. Mach. Learn. Res., 2024)

Algorithm Configuration in Sequential Decision-Making. - Luca Begnardi; Bart von Meijenfeldt; Yingqian Zhang 001; Willem van Jaarsveld; Hendrik Baier (CPAIOR (1), 2025)

Combining LLMs with a Logic-Based Framework to Explain MCTS. - Ziyan An; Xia Wang; Hendrik Baier; Zirong Chen; Abhishek Dubey; Taylor T. Johnson; Jonathan Sprinkle; Ayan Mukhopadhyay; Meiyi Ma (AAMAS, 2025)

InnateCoder: Learning Programmatic Options with Foundation Models. - Rubens O. Moraes; Quazi Asif Sadmine; Hendrik Baier; Levi H. S. Lelis (CoRR, 2025)