Frans A. Oliehoek

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Matthijs T. J. SpaanDelft University of TechnologyVerified email at tudelft.nl
Christopher AmatoAssociate Professor at Northeastern UniversityVerified email at ccs.neu.edu
Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKVerified email at cs.ox.ac.uk
Nikos VlassisPrincipal Scientist, AdobeVerified email at adobe.com
Diederik M. RoijersVrije Universiteit Brussel (VUB) & City of AmsterdamVerified email at ai.vub.ac.be
Elise van der PolMicrosoft ResearchVerified email at microsoft.com
Karl TuylsResearch Scientist, Google DeepMind and Professor of computer science, University of LiverpoolVerified email at google.com
Stefan WitwickiAlliance Innovation Lab Silicon ValleyVerified email at nissan-usa.com
Yash SatsangiJPMCVerified email at jpmchase.com
Rahul SavaniProfessor of Computer Science, University of LiverpoolVerified email at liverpool.ac.uk
Jie ZhangProfessor of Computer Science and Engineering, Nanyang Technological UniversityVerified email at ntu.edu.sg
Sammie KattNortheastern UniversityVerified email at husky.neu.edu
Miguel SuauDelft University of TechnologyVerified email at tudelft.nl
Mathijs de WeerdtFull Professor of Computer Science, Delft University of TechnologyVerified email at tudelft.nl
Max WellingProfessor Machine Learning, University of AmsterdamVerified email at uva.nl
Joris ScharpffDelft University of TechnologyVerified email at tudelft.nl
Leslie KaelblingVerified email at csail.mit.edu
Elena CongedutiDelft University of TechnologyVerified email at tudelft.nl
Aleksander CzechowskiTU DelftVerified email at tudelft.nl
Rolf A. N. StarreDelft University of TechnologyVerified email at tudelft.nl

Frans A. Oliehoek

Associate Professor at Delft University of Technology

Verified email at tudelft.nl - Homepage

artificial intelligence multiagent systems machine learning reinforcement learning decision-theoretic planning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A Concise Introduction to Decentralized POMDPs FA Oliehoek, C Amato	600	2016
Optimal and approximate Q-value functions for decentralized POMDPs FA Oliehoek, MTJ Spaan, N Vlassis Journal of Artificial Intelligence Research 32 (1), 289-353, 2008	387	2008
Coordinated Deep Reinforcement Learners for Traffic Light Control E van der Pol, FA Oliehoek NIPS WS: Learning, Inference and Control of Multi-Agent Systems, 2016	328	2016
Exploiting locality of interaction in factored Dec-POMDPs FA Oliehoek, MTJ Spaan, S Whiteson, N Vlassis Proceedings of the 7th international conference on Autonomous agents and …, 2008	143	2008
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence Z Akata, D Balliet, M de Rijke, F Dignum, V Dignum, G Eiben, A Fokkens, ... Computer 53 (8), 18-28, 2020	136	2020
Decentralized POMDPs FA Oliehoek Reinforcement Learning: State of the Art, 2012	125	2012
Scalable Planning and Learning for Multiagent POMDPs: Extended Version C Amato, FA Oliehoek arXiv preprint arXiv:1404.1140, 2014	104*	2014
Approximate Solutions for Factored Dec-POMDPs with Many Agents---Extended Abstract F Oliehoek, S Whiteson, M Spaan BNAIC 2013: Proceedings of the Twenty-Fifth Benelux Conference on Artificial …, 2013	80*	2013
Approximate Solutions for Factored Dec-POMDPs with Many Agents FA Oliehoek, S Whiteson, MTJ Spaan Proceedings of the Twelfth International Joint Conference on Autonomous …, 2013	80	2013
Decentralised Online Planning for Multi-Robot Warehouse Commissioning D Claes, F Oliehoek, H Baier, K Tuyls Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017	78	2017
Incremental Clustering and Expansion for Faster Optimal Planning in Decentralized POMDPs. FA Oliehoek, MTJ Spaan, C Amato, S Whiteson Journal of Artificial Intelligence Research 46 (1), 2013	65	2013
Learning in POMDPs with Monte Carlo Tree Search S Katt, FA Oliehoek, C Amato International Conference on Machine Learning, 1819-1827, 2017	61	2017
Influence-Based Abstraction for Multiagent Systems FA Oliehoek, SJ Witwicki, LP Kaelbling Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence …, 2012	60	2012
Scaling up optimal heuristic search in Dec-POMDPs via incremental expansion MTJ Spaan, FA Oliehoek, C Amato Proceedings of the Twenty-Second international joint conference on …, 2011	59	2011
Scaling up optimal heuristic search in Dec-POMDPs via incremental expansion MTJ Spaan, FA Oliehoek, C Amato Multi-agent Sequential Decision Making in Uncertain Domains, 2011	59	2011
MDP homomorphic networks: Group symmetries in reinforcement learning E van der Pol, D Worrall, H van Hoof, F Oliehoek, M Welling Advances in Neural Information Processing Systems 33, 2020	58	2020
Learning from Demonstration in the Wild F Behbahani, K Shiarlis, X Chen, V Kurin, S Kasewa, C Stirbu, J Gomes, ... 2019 International Conference on Robotics and Automation (ICRA), 775-781, 2019	54	2019
Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method Z Cao, H Guo, J Zhang, F Oliehoek, U Fastenrath Proceedings of the 31th AAAI Conference on Artificial Intelligence (AAAI), 2017	54	2017
Multiagent planning under uncertainty with stochastic communication delays MTJ Spaan, FA Oliehoek, N Vlassis Proc. of The International Conference on Automated Planning and Scheduling …, 2008	52	2008
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions E van der Pol, T Kipf, FA Oliehoek, M Welling arXiv preprint arXiv:2002.11963, 2020	51	2020

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