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Michael Kaisers
Michael Kaisers
DeepMind
Verified email at deepmind.com - Homepage
Title
Cited by
Cited by
Year
Evolutionary dynamics of multi-agent learning: A survey
D Bloembergen, K Tuyls, D Hennes, M Kaisers
Journal of Artificial Intelligence Research 53, 659-697, 2015
3182015
A survey of learning in multiagent environments: Dealing with non-stationarity
P Hernandez-Leal, M Kaisers, T Baarslag, EM De Cote
arXiv preprint arXiv:1707.09183, 2017
2932017
Local energy markets: Paving the path toward fully transactive energy systems
F Lezama, J Soares, P Hernandez-Leal, M Kaisers, T Pinto, Z Vale
IEEE Transactions on Power Systems 34 (5), 4081-4088, 2018
2792018
Frequency adjusted multi-agent Q-learning
M Kaisers, K Tuyls
Proc. of 9th International Conference on Autonomous Agents and Multiagent …, 2010
992010
When will negotiation agents be able to represent us? The challenges and opportunities for autonomous negotiators
T Baarslag, M Kaisers, E Gerding, CM Jonker, J Gratch
International Joint Conferences on Artificial Intelligence, 2017
722017
Automated peer-to-peer negotiation for energy contract settlements in residential cooperatives
S Chakraborty, T Baarslag, M Kaisers
Applied Energy 259, 114173, 2020
702020
Addressing environment non-stationarity by repeating Q-learning updates
S Abdallah, M Kaisers
The Journal of Machine Learning Research 17 (1), 1582-1612, 2016
592016
Using iterated reasoning to predict opponent strategies
M Wunder, M Kaisers, JR Yaros, M Littman
Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS …, 2011
522011
An evolutionary game-theoretic analysis of poker strategies
M Ponsen, K Tuyls, M Kaisers, J Ramon
Entertainment Computing 1 (1), 39-45, 2009
432009
The value of information in automated negotiation: A decision model for eliciting user preferences
T Baarslag, M Kaisers
Proceedings of the 16th conference on autonomous agents and multiagent …, 2017
422017
Towards a fast detection of opponents in repeated stochastic games
P Hernandez-Leal, M Kaisers
Autonomous Agents and Multiagent Systems: AAMAS 2017 Workshops, Best Papers …, 2017
302017
Learning against sequential opponents in repeated stochastic games
P Hernandez-Leal, M Kaisers
The 3rd Multi-disciplinary Conference on Reinforcement Learning and Decision …, 2017
262017
A multi-agent approach to professional software engineering
M Lützenberger, T Küster, T Konnerth, A Thiele, N Masuch, A Heßler, ...
Engineering Multi-Agent Systems: First International Workshop, EMAS 2013, St …, 2013
262013
Lenient frequency adjusted Q-learning
D Bloembergen, M Kaisers, K Tuyls
Proc. of 22nd Belgium-Netherlands Conf. on Artificial Intelligence (BNAIC …, 2010
232010
FAQ-Learning in Matrix Games: Demonstrating Convergence near Nash Equilibria, and Bifurcation of Attractors in the Battle of Sexes
M Kaisers, K Tuyls
Workshop on Interactive Decision Theory and Game Theory (IDTGT 2011), 2011
222011
Bee-inspired foraging in an embodied swarm (Demonstration)
S Alers, D Bloembergen, D Hennes, S De Jong, M Kaisers, N Lemmens, ...
Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS …, 2011
21*2011
Addressing the policy-bias of q-learning by repeating updates
S Abdallah, M Kaisers
Proceedings of the 2013 international conference on Autonomous agents and …, 2013
202013
Computers that negotiate on our behalf: Major challenges for self-sufficient, self-directed, and interdependent negotiating agents
T Baarslag, M Kaisers, EH Gerding, CM Jonker, J Gratch
Autonomous Agents and Multiagent Systems: AAMAS 2017 Workshops, Visionary …, 2017
182017
Energy contract settlements through automated negotiation in residential cooperatives
S Chakraborty, T Baarslag, M Kaisers
2018 ieee international conference on communications, control, and computing …, 2018
152018
RESQ-learning in stochastic games
D Hennes, M Kaisers, K Tuyls
Adaptive and Learning Agents (ALA 2010) Workshop, 2010
152010
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