Daniel Bloembergen
- Full Name
- Dr. D. Bloembergen
- Function(s)
- Researcher
- Daniel.Bloembergen@cwi.nl
- Telephone
- +31 20 592 4119
- Room
- M360
- Department(s)
- Intelligent and Autonomous Systems
- Homepage
- http://www.flowermountains.nl
Biography
I am a researcher at the Intelligent and Autonomous Systems group at Centrum Wiskunde & Informatica (CWI, the national research institute for mathematics and computer science). Previously I held a position as Postdoctoral Research Associate at the Department of Computer Science, University of Liverpool, UK. I did my PhD research at Maastricht University, where I graduated in May 2015.Research
My research focus is on multi-agent learning, especially reinforcement learning. I am interested in investigating how multiple learning agents interact and influence each other, what kind of global system dynamics arise, and how desired behaviour can be obtained by modifying the learning algorithms used. The settings I look at range from one-on-one interactions (e.g. games) to small groups (e.g. multi-agent coordination) and large communities (e.g. interactions in social networks).
Publications
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Collenette, J, Atkinson, K, Bloembergen, D, & Tuyls, K. (2018). On the role of mobility and interaction topologies in social dilemmas. In ALIFE 2018 - Proceedings of the artificial life conference 2018 (pp. 477–484). doi:10.1162/isal_a_00088
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Palmer, G, Tuyls, K, Bloembergen, D, & Savani, R. (2018). Lenient multi-agent deep reinforcement learning. In AAMAS '18 - Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (pp. 443–451).
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Klima, R, Bloembergen, D, Savani, R, Tuyls, K, Wittig, A, Sapera, A, & Izzo, D. (2018). Space debris removal: Learning to cooperate and the price of anarchy. Frontiers Robotics AI, 5(JUN). doi:10.3389/frobt.2018.00054
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Serrano, J, Morales, E.F, Hernandez-Leal, P, Kaisers, M, & Bloembergen, D. (2018). Learning on a Budget Using Distributional RL. In Proceedings of Adaptive and Learning Agents (ALA) Workshop, 2018.
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Klima, R, Bloembergen, D, Kaisers, M, & Tuyls, K. (2018). Learning robust policies when losing control. In Proceedings of Adaptive and Learning Agents (ALA) Workshop, 2018.
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Klima, R, Bloembergen, D, Kaisers, M, & Tuyls, K. (2018). Towards learning to best respond when losing control. In Proceedings of 14th European Workshop on Reinforcement Learning (EWRL), 2018.
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Bloembergen, D, Tuyls, K, Hennes, D, & Kaisers, M. (2015). Evolutionary Dynamics of Multi-Agent Learning: A Survey. Journal of Artificial Intelligence Research, 53, 659–697.
Current projects with external funding
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Demand response for grid-friendly quasi-autarkic energy cooperatives (Grid-Friends)