Daan Bloembergen

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Karl TuylsResearch Scientist, Google DeepMind and Professor of computer science, University of LiverpoolVerified email at google.com
Michael KaisersDeepMindVerified email at deepmind.com
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
Richard KlimaUniversity of LiverpoolVerified email at liverpool.ac.uk
Katie AtkinsonProfessor of Computer Science, University of LiverpoolVerified email at liverpool.ac.uk
Joe CollenetteVerified email at manchester.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
Dario IzzoScientist at the European Space AgencyVerified email at esa.int
Gregory PalmerSenior Principal Research Scientist, BAE SystemsVerified email at baesystems.com
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
Alexander WittigUniversity of SouthamptonVerified email at wittig.name
Tim BaarslagCentrum Wiskunde & Informatica (CWI)Verified email at cwi.nl
Peter McBurneyKing's College LondonVerified email at kcl.ac.uk
Chris EijgensteinData Engineer, City of AmsterdamVerified email at amsterdam.nl

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	283	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	173	2018
On Rational Delegations in Liquid Democracy D Bloembergen, D Grossi, M Lackner The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019	60	2019
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	49	2014
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	30	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
Space debris removal: A game theoretic analysis R Klima, D Bloembergen, R Savani, K Tuyls, D Hennes, D Izzo Games 7 (3), 20, 2016	27	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	23	2015
Lenient frequency adjusted Q-learning D Bloembergen, M Kaisers, K Tuyls Proc. of 22nd Belgium-Netherlands Conf. on Artif. Intel, 2010	23	2010
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	22	2011
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	20	2014
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	18	2018
A common gradient in multi-agent reinforcement learning. M Kaisers, D Bloembergen, K Tuyls AAMAS, 1393-1394, 2012	11	2012
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
Empirical and theoretical support for lenient learning D Bloembergen, M Kaisers, K Tuyls Autonomous Agents and Multiagent Systems (AAMAS 2011) 9, 1105-1106, 2011	9	2011
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	8	2019
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
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
Telepresence robots as a research platform for AI S Alers, D Bloembergen, D Claes, J Fossel, D Hennes, K Tuyls 2013 AAAI Spring Symposium Series, 2013	6	2013

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