Daan Bloembergen

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Karl TuylsResearch Scientist, Entrepreneur, ex-Google DeepMind, Prof at University of LiverpoolVerified email at hcompany.ai
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 Liverpool and Alan Turing InstituteVerified email at liverpool.ac.uk
Richard KlimaUniversity of LiverpoolVerified email at liverpool.ac.uk
Sjriek AlersFontys university of applied sciencesVerified email at fontys.nl
Katie AtkinsonProfessor of Computer Science, University of LiverpoolVerified email at liverpool.ac.uk
Joe CollenetteVerified email at manchester.ac.uk
Haitham Bou-AmmarRL-Team Leader, BO-Team Leader, MAS-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
Simon ParsonsUniversity of Lincoln, School of Computer ScienceVerified email at lincoln.ac.uk
Martin LacknerTU WienVerified email at dbai.tuwien.ac.at
Davide GrossiUniversity of Groningen (Bernoulli Institute, CogniGron) & University of Amsterdam (ILLC, ACLE)Verified email at rug.nl
Alexander WittigUniversity of SouthamptonVerified email at wittig.name
Tim BaarslagCentrum Wiskunde & Informatica (CWI)Verified email at cwi.nl
Chris EijgensteinSoftware Engineer, PassiveLogicVerified email at amsterdam.nl
Peter McBurneyKing's College LondonVerified email at kcl.ac.uk

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	361	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	213	2018
On Rational Delegations in Liquid Democracy D Bloembergen, D Grossi, M Lackner The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019	76	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	58	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	51	2019
Space debris removal: A game theoretic analysis R Klima, D Bloembergen, R Savani, K Tuyls, D Hennes, D Izzo Games 7 (3), 20, 2016	33	2016
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	30	2014
Lenient frequency adjusted Q-learning D Bloembergen, M Kaisers, K Tuyls Proc. of 22nd Belgium-Netherlands Conf. on Artif. Intel, 2010	26	2010
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	25	2018
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
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	23	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	21	2011
A common gradient in multi-agent reinforcement learning. M Kaisers, D Bloembergen, K Tuyls AAMAS, 1393-1394, 2012	14	2012
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	12	2019
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	12	2015
Robust Multi-agent Q-learning in Cooperative Games with Adversaries E Nisioti, D Bloembergen, M Kaisers AAAI-21 Workshop on Reinforcement Learning in Games, 2021	11	2021
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	11	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	11	2011
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	9	2014
Mood modelling within reinforcement learning J Collenette, K Atkinson, D Bloembergen, K Tuyls Artificial Life Conference Proceedings, 106-113, 2017	8	2017

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