Daan Bloembergen

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Karl TuylsResearch Scientist, Google DeepMind and Professor of computer science, University of LiverpoolVerified email at google.com
Michael KaisersCentrum Wiskunde & InformaticaVerified email at cwi.nl
Daniel HennesResearch Scientist, Google DeepMindVerified email at google.com
Gerhard WeissProfessor of Computer Science and Artificial Intelligence, Maastricht UniversityVerified email at maastrichtuniversity.nl
Rahul SavaniProfessor of Computer Science, University of LiverpoolVerified email at liverpool.ac.uk
Katie AtkinsonProfessor of Computer Science, University of LiverpoolVerified email at liverpool.ac.uk
Sjriek AlersFontys university of applied sciencesVerified email at fontys.nl
Haitham Bou-AmmarReinforcement Learning Team Leader @ Huawei London & H. Assistant Professor @ UCLVerified email at huawei.com
Bijan Ranjbar-SahraeiFreelance Data ScientistVerified email at mydataexpert.nl
Richard KlimaUniversity of LiverpoolVerified email at liverpool.ac.uk
Gregory PalmerPostDoc, L3S Research CenterVerified email at l3s.de
Dario IzzoScientist at the European Space AgencyVerified email at esa.int
Martin LacknerTU WienVerified email at dbai.tuwien.ac.at
Davide GrossiUniversity of Groningen (Bernoulli Institute) & University of Amsterdam (ILLC, ACLE)Verified email at rug.nl
Simon ParsonsUniversity of Lincoln, School of Computer ScienceVerified email at lincoln.ac.uk
Peter McBurneyKing's College LondonVerified email at kcl.ac.uk
Tim BaarslagCentrum Wiskunde & Informatica (CWI)Verified email at cwi.nl
Alexander WittigUniversity of SouthamptonVerified email at wittig.name
Pablo Hernandez-LealQuantfuryVerified email at quantfury.com
Fernando P. SantosInformatics Institute (IvI), University of AmsterdamVerified email at princeton.edu

Daan Bloembergen

AI Researcher, City of Amsterdam

Verified email at amsterdam.nl - Homepage

Artificial Intelligence Reinforcement Learning Multi-Agent Systems


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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	239	2015
Lenient multi-agent deep reinforcement learning G Palmer, K Tuyls, D Bloembergen, R Savani Proc. of the 17th Int. Conf. on Autonomous Agents and Multiagent Systems …, 2018	146	2018
Evolution of cooperation in arbitrary complex networks B Ranjbar-Sahraei, H Bou Ammar, D Bloembergen, K Tuyls, G Weiss Proceedings of the 2014 international conference on Autonomous agents and …, 2014	45	2014
On Rational Delegations in Liquid Democracy D Bloembergen, D Grossi, M Lackner The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019	43	2019
Influencing Social Networks: An Optimal Control Study D Bloembergen, B Ranjbar-Sahraei, HB Ammar, K Tuyls, G Weiss Proceedings of the 21st European Conference on Artificial Intelligence (ECAI …, 2014	28	2014
Bee-inspired foraging in an embodied swarm S Alers, D Bloembergen, D Hennes, S De Jong, M Kaisers, N Lemmens, ... Autonomous Agents and Multiagent Systems (AAMAS 2011), 1311-1312, 2011	23	2011
Space debris removal: A game theoretic analysis R Klima, D Bloembergen, R Savani, K Tuyls, D Hennes, D Izzo Games 7 (3), 20, 2016	20	2016
Trading in markets with noisy information: An evolutionary analysis D Bloembergen, D Hennes, P McBurney, K Tuyls Connection Science 27 (3), 253-268, 2015	19	2015
Theory of cooperation in complex social networks B Ranjbar-Sahraei, HB Ammar, D Bloembergen, K Tuyls, G Weiss Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI-14), 2014	19	2014
Lenient frequency adjusted Q-learning D Bloembergen, M Kaisers, K Tuyls Proc. of 22nd Belgium-Netherlands Conf. on Artif. Intel, 2010	19	2010
RLBOA: A Modular Reinforcement Learning Framework for Autonomous Negotiating Agents J Bakker, A Hammond, D Bloembergen, T Baarslag Proc. of the 18th International Conference on Autonomous Agents and …, 2019	15	2019
Space debris removal: Learning to cooperate and the price of anarchy R Klima, D Bloembergen, R Savani, K Tuyls, A Wittig, A Sapera, D Izzo Frontiers in Robotics and AI 5, 54, 2018	11	2018
Empirical and theoretical support for lenient learning D Bloembergen, M Kaisers, K Tuyls Autonomous Agents and Multiagent Systems (AAMAS 2011) 9, 1105-1106, 2011	10	2011
Survival of the Chartist: An Evolutionary Agent-Based Analysis of Stock Market Trading. D Bloembergen, D Hennes, S Parsons, K Tuyls AAMAS, 1699-1700, 2015	9	2015
Evolutionary advantage of foresight in markets D Hennes, D Bloembergen, M Kaisers, K Tuyls, S Parsons Proceedings of the 14th annual conference on genetic and evolutionary …, 2012	9	2012
A common gradient in multi-agent reinforcement learning. M Kaisers, D Bloembergen, K Tuyls AAMAS, 1393-1394, 2012	9	2012
Effects of evolution on the emergence of scale free networks B Ranjbar-Sharaei, D Bloembergen, HB Ammar, K Tulys, G Weiss Proceedings of the 14th International Conference on the Synthesis and …, 2014	7	2014
Robust temporal difference learning for critical domains R Klima, D Bloembergen, M Kaisers, K Tuyls Proc. of the 18th International Conference on Autonomous Agents and …, 2019	6	2019
Modelling Mood in Co-operative Emotional Agents J Collenette, K Atkinson, D Bloembergen, K Tuyls 13th International Symposium on Distributed Autonomous Robotic Systems, 2016	6	2016
Environmental effects on simulated emotional and moody agents J Collenette, K Atkinson, D Bloembergen, K Tuyls The Knowledge Engineering Review 32, 2017	5	2017

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