Michael Kaisers
- Full Name
- Dr. M. Kaisers
- Function(s)
- Scientific Staff Member
- M.Kaisers@cwi.nl
- Telephone
- +31 20 592 4035
- Room
- M359
- Department(s)
- Intelligent and Autonomous Systems
- Homepage
- http://www.michaelkaisers.com
Biography
Michael Kaisers investigates strategies and mechanisms for strategic interactions with both cooperative and competitive elements, inspired by applications in energy systems, trading in markets and negotiations. He has published more than 40 research articles in computer science, on the intersection of artificial intelligence and game theory, and now leads and contributes to European joint research projects, having acquired more than 1 million Euro in funding for work on multi-agent reinforcement learning, evolutionary dynamics, and efficient flexibility allocation in smart energy systems.
Publications
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Klima, R, Bloembergen, D, Kaisers, M, & Tuyls, K. (2019). Robust Temporal Difference Learning for Critical Domains. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (pp. 350–358).
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Chakraborty, S, Hernandez-Leal, P, & Kaisers, M. (2019). An exchange mechanism to coordinate flexibility in residential energy cooperatives. In Proceedings of 20th IEEE International Conference on Industrial Technology (ICIT).
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Tsimpoukis, D, Baarslag, T, Kaisers, M, & Paterakis, N.G. (2018). Automated Negotiations under User Preference Uncertainty: A Linear Programming Approach. In AT 2018: Agreement Technologies (pp. 115–129). doi:10.1007/978-3-030-17294-7_9
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Methenitis, G, Kaisers, M, & La Poutré, J.A. (2018). Renewable electricity trading through SLAs. Energy Informatics, 1(57). doi:10.1186/s42162-018-0062-y
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Pappi, I, Baarslag, T, Kaisers, M, & Paterakis, N.G. (2018). An uncertainty-aware online planning tool for the sustainable electrification of festivals. In Proceedings of Int. Conf. on Smart Energy Systems and Technologies (SEST). IEEE, 2018.
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Lezama, F, Soares, J, Hernandez-Leal, P, Kaisers, M, Pinto, T, & Almeida do Vale, Z.M. (2018). Local energy markets: Paving the path towards fully transactive energy systems. IEEE Transactions on Power Systems, 1–8. doi:10.1109/TPWRS.2018.2833959
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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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Chakraborty, S, Baarslag, T, & Kaisers, M. (2018). Energy Contract Settlements through Automated Negotiation in Residential Cooperatives. In Proceedings of IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2018..
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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). Towards learning to best respond when losing control. In Proceedings of 14th European Workshop on Reinforcement Learning (EWRL), 2018.
Current projects with external funding
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Flexible Assets Bid Across Markets (FABAM)
Awards
- Title: Energy Contract Settlements through Automated Negotiation in Residential Cooperatives (2018)