Research output per year
Research output per year
Personal profile
Education/Academic qualification
Doctorate, Representation and Generalization in Autonomous Reinforcement Learning, Technical University of Berlin
Award Date: 16 Dec 2016
Master's degree, Robot Navigation using Reinforcement Learning and Slow Feature Analysis, Technical University of Berlin
Award Date: 17 Nov 2008
External positions
Stipendiary Lecturer for computer science at St Anne’s College, University of Oxford
Oct 2018 → Jul 2020
Postdoctoral Researcher in Shimon Whiteson’s group, Department of Computer Science at the University of Oxford.
Jan 2018 → Jul 2020
Teaching Assistant of Prof. Klaus Obermayer (TU-Berlin)
Jan 2014 → Dec 2017
Research Assistant of Prof. Klaus Obermayer (TU-Berlin)
Jan 2012 → Dec 2014
Keywords (LCC)
- QA76 Computer software
- Artificial Intelligence
- Reinforcement learning
- Uncertainty Quantification
- Deep Learning
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Distributed multi-target tracking and active perception with mobile camera networks
Casao, S., Serra-Gómez, Á., Murillo, A. C., Böhmer, W., Alonso-Mora, J. & Montijano, E., 2024, In: Computer Vision and Image Understanding. 238, 9 p., 103876.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile94 Downloads (Pure) -
Diverse Projection Ensembles for Distributional Reinforcement Learning
Zanger, M. A., Böhmer, J. W. & Spaan, M. T. J., 2024. 26 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile5 Downloads (Pure) -
Multi-Robot Local Motion Planning Using Dynamic Optimization Fabrics
Bakker, S., Knödler, L., Spahn, M., Böhmer, J. W. & Alonso-Mora, J., 2024, Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems (MRS). IEEE, p. 149-155 7 p. (2023 International Symposium on Multi-Robot and Multi-Agent Systems, MRS 2023).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile1 Citation (Scopus)29 Downloads (Pure) -
To the Max: Reinventing Reward in Reinforcement Learning
Veviurko, G., Böhmer, W. & de Weerdt, M., 2024, In: Proceedings of Machine Learning Research. 235, p. 49455-49470 16 p.Research output: Contribution to journal › Conference article › Scientific › peer-review
Open AccessFile70 Downloads (Pure) -
Value Improved Actor Critic Algorithms
Oren, Y., Zanger, M. A., van der Vaart, P. R., Spaan, M. T. J. & Böhmer, J. W., 2024, ArXiv.Research output: Working paper/Preprint › Preprint
Datasets
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Software accompanying the publication: Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability
Veviurko, G. (Creator), de Weerdt, M. M. (Creator) & Böhmer, J. W. (Creator), TU Delft - 4TU.ResearchData, 15 Feb 2022
DOI: 10.4121/19166285
Dataset/Software: Software