| 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 | 378 | 2015 |
| 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 | 366 | 2017 |
| 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 | 363 | 2018 |
| Frequency adjusted multi-agent Q-learning M Kaisers, K Tuyls Proc. of 9th International Conference on Autonomous Agents and Multiagent …, 2010 | 110 | 2010 |
| Automated peer-to-peer negotiation for energy contract settlements in residential cooperatives S Chakraborty, T Baarslag, M Kaisers Applied Energy 259, 114173, 2020 | 90 | 2020 |
| 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 | 87 | 2017 |
| Addressing environment non-stationarity by repeating Q-learning updates S Abdallah, M Kaisers Journal of Machine Learning Research 17 (46), 1-31, 2016 | 66 | 2016 |
| 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 | 55 | 2011 |
| An evolutionary game-theoretic analysis of poker strategies M Ponsen, K Tuyls, M Kaisers, J Ramon Entertainment Computing 1 (1), 39-45, 2009 | 51 | 2009 |
| 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 | 47 | 2017 |
| TacticAI: an AI assistant for football tactics Z Wang, P Veličković, D Hennes, N Tomašev, L Prince, M Kaisers, ... Nature communications 15 (1), 1906, 2024 | 38 | 2024 |
| 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 | 35 | 2017 |
| Learning against sequential opponents in repeated stochastic games P Hernandez-Leal, M Kaisers The 3rd Multi-disciplinary Conference on Reinforcement Learning and Decision …, 2017 | 29 | 2017 |
| 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 | 27 | 2013 |
| 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 | 26 | 2011 |
| Lenient frequency adjusted Q-learning D Bloembergen, M Kaisers, K Tuyls Proc. of 22nd Belgium-Netherlands Conf. on Artificial Intelligence (BNAIC …, 2010 | 26 | 2010 |
| 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 | 23 | 2017 |
| 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 | 21 | 2013 |
| 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 |
| RESQ-learning in stochastic games D Hennes, M Kaisers, K Tuyls Adaptive and Learning Agents (ALA 2010) Workshop, 2010 | 20 | 2010 |
Karl TuylsResearch Scientist, Entrepreneur, ex-Google DeepMind, Prof at University of LiverpoolVerified email at hcompany.ai