Projects per year
Personal profile
Research profile
Hendrik Baier is an Assistant Professor in the Information Systems group at Eindhoven University of Technology (TU/e). He is interested in creating agents that are able to succeed in a wide range of complex decision-making tasks, in order to help human users solve real-world problems. To achieve this, his research focuses on planning, required for acting towards long-term goals; on learning, required for acting in unknown environments; and on the explainability of planning and learning, required for successful human-AI interaction. In collaborative projects with industry, Hendrik transfers fundamental research on planning and learning into practice, in sectors such as logistics and transportation, smart manufacturing, and sustainable energy.
Quote
I'm interested in AIs that think ahead - and can explain how and why.
Academic background
Hendrik Baier received his MSc in Cognitive Science from Osnabrück University, Germany, and his Ph.D. in AI from Maastricht University, Netherlands. His Ph.D. focused on planning and search - the search for an optimal strategy in a given problem, or just for a good next action to take - using board and video games as testbeds. Before he joined TU/e in 2022, Hendrik worked in the Intelligent and Autonomous Systems group at CWI Amsterdam, where he is still an affiliated researcher; as research associate for artificial intelligence and data analytics at Digital Creativity Labs in York, England; and as research fellow in artificial intelligence in the Advanced Concepts Team of the European Space Agency in Noordwijk, Netherlands.
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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PEER: The hyPEr ExpeRt collaborative AI assistant
Baier, H. (Project Manager), von Meijenfeldt, B. (Project member) & Hu, C. (Project member)
1/10/23 → 30/09/27
Project: Third tier
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Explainable AI for Sequential Decision Making: Report from Dagstuhl Seminar 24372
Baier, H., Keane, M. T., Sreedharan, S., Tulli, S., Verma, A. & Vasileiou, S. L., 4 Apr 2025, In: Dagstuhl Reports. 14, 9, p. 67-103 37 p., 9.Research output: Contribution to journal › Article › Academic
Open AccessFile2 Downloads (Pure) -
Decision Making in Non-Stationary Environments with Policy-Augmented Search
Pettet, A., Zhang, Y., Luo, B., Wray, K., Baier, H., Laszka, A., Dubey, A. & Mukhopadhyay, A., 6 May 2024, AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 2417-2419 3 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Citation (Scopus)22 Downloads (Pure) -
Deep Reinforcement Learning for Two-Sided Online Bipartite Matching in Collaborative Order Picking
Begnardi, L., Baier, H., van Jaarsveld, W. L. & Zhang, Y., 2024, Proceedings of the 15th Asian Conference on Machine Learning, ACML2023. Yanıkoğlu, B. & Buntine, W. (eds.). PMLR, p. 121-136 16 p. (Proceedings of Machine Learning Research (PMLR); vol. 222).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile253 Downloads (Pure) -
Enabling MCTS Explainability for Sequential Planning Through Computation Tree Logic
An, Z., Baier, H., Dubey, A., Mukhopadhyay, A. & Ma, M., 16 Oct 2024, ECAI 2024: 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), Proceedings. Endriss, U., Melo, F. S., Bach, K., Bugarín-Diz, A., Alonso-Moral, J. M., Barro, S. & Heintz, F. (eds.). Amsterdam: IOS Press, p. 4068-4075 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 392).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile15 Downloads (Pure) -
Language Models Speed Up Local Search for Finding Programmatic Policies
Sadmine, Q. A., Baier, H. & Lelis, L., Nov 2024, In: Transactions on Machine Learning Research. 2024, 11, 35 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile64 Downloads (Pure)
Activities
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Workshop on Trustworthy Sequential Decision-making and Optimization (ECAI2024)
Baier, H. (Organiser), Bliek, L. (Organiser), Bukhsh, Z. (Organiser), Grau Garcia, I. (Organiser), Wu, Y. (Organiser) & Zhang, Y. (Organiser)
19 Oct 2024 → 20 Oct 2024Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
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Dagstuhl seminar on Explainable AI for Sequential Decision-making
Baier, H. (Organiser)
9 Sept 2024 → 11 Sept 2024Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
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33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (Event)
Baier, H. (Peer reviewer)
4 Aug 2024Activity: Publication peer-review and editorial work types › Publication peer-review › Scientific
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33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (Event)
Baier, H. (Peer reviewer)
3 Aug 2024 → 9 Aug 2024Activity: Publication peer-review and editorial work types › Publication peer-review › Scientific
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34th International Conference on Automated Planning and Scheduling, ICAPS 2024 (Event)
Baier, H. (Peer reviewer)
3 Jun 2024Activity: Publication peer-review and editorial work types › Publication peer-review › Scientific