Michael Kaisers

Full Name: Dr. M. Kaisers
Function(s): Scientific Staff Member

Email: 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

Baier, H.J.S, & Kaisers, M. (2021). ME-MCTS: Online generalization by combining multiple value estimators. In Proceedings of the International Conference on Artificial Intelligence.
Baier, H.J.S, & Kaisers, M. (2021). Novelty and MCTS. In Proceedings of the 1st Evolutionary Reinforcement Learning Workshop at GECCO 2021 (pp. 1483–1487). doi:10.1145/3449726.3463217
Willemsen, J.D, Baier, H.J.S, & Kaisers, M. (2021). Value targets in off-policy AlphaZero: A new greedy backup. Neural Computing and Applications. doi:10.1007/s00521-021-05928-5
Rostov, M, & Kaisers, M. (2021). Robust online planning with imperfect models. In Adaptive and Learning Agents Workshop - ALA 2021.
Baier, H.J.S, & Kaisers, M. (2021). Towards explainable MCTS. In Proceedings of the AAAI Conference on Artificial Intelligence.
Nisioti, E, Bloembergen, D, & Kaisers, M. (2021). Robust multi-agent Q-learning in cooperative games with adversaries. In AAAI-21 Workshop on Reinforcement Learning in Games.
Baier, H.J.S, & Kaisers, M. (2021). Explainable search. In Proceedings of the International Conference on Artificial Intelligence.
Baier, H.J.S, & Kaisers, M. (2020). Opponent-Pruning Paranoid Search. In FDG '20: International Conference on the Foundations of Digital Games. doi:10.1145/3402942.3402957
Baier, H.J.S, & Kaisers, M. (2020). Guiding multiplayer MCTS by focusing on yourself. In 2020 IEEE Conference on Games (CoG) (pp. 550–557). doi:10.1109/CoG47356.2020.9231603
Chakraborty, S, Baarslag, T, & Kaisers, M. (2019). Automated peer-to-peer negotiation for energy contract settlements in residential cooperatives. Applied Energy. doi:10.1016/j.apenergy.2019.114173

Awards

Title: Energy Contract Settlements through Automated Negotiation in Residential Cooperatives (2018)