| A Concise Introduction to Decentralized POMDPs FA Oliehoek, C Amato | 1773 | 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 | 820 | 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 | 733 | 2016 |
| 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 | 586 | 2020 |
| 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 | 220 | 2020 |
| Decentralized POMDPs FA Oliehoek Reinforcement Learning: State of the Art, 2012 | 178 | 2012 |
| 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 | 160 | 2008 |
| Scalable Planning and Learning for Multiagent POMDPs: Extended Version C Amato, FA Oliehoek arXiv preprint arXiv:1404.1140, 2014 | 145* | 2014 |
| Plannable Approximations to MDP Homomorphisms: Equivariance under Actions E van der Pol, T Kipf, FA Oliehoek, M Welling arXiv preprint arXiv:2002.11963, 2020 | 116 | 2020 |
| 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 | 115 | 2017 |
| Learning in POMDPs with Monte Carlo Tree Search S Katt, FA Oliehoek, C Amato International Conference on Machine Learning, 1819-1827, 2017 | 104 | 2017 |
| 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 | 89* | 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 | 89 | 2013 |
| 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 | 80 | 2019 |
| 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 | 77 | 2013 |
| Multiagent Systems Under Uncertainty FA Oliehoek, C Amato A Concise Introduction to Decentralized POMDPs, 1-9, 2016 | 75 | 2016 |
| Influence-based abstraction for multiagent systems F Oliehoek, S Witwicki, L Kaelbling Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1422-1428, 2012 | 72 | 2012 |
| Computing Convex Coverage Sets for Faster Multi-objective Coordination DM Roijers, S Whiteson, FA Oliehoek Journal of Artificial Intelligence Research 52, 399-443, 2015 | 68 | 2015 |
| The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning J Castellini, FA Oliehoek, R Savani, S Whiteson Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 67 | 2019 |
| Bayesian Reinforcement Learning in Factored POMDPs S Katt, FA Oliehoek, C Amato Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 66 | 2019 |
Matthijs T. J. SpaanDelft University of TechnologyVerified email at tudelft.nl
