A Concise Introduction to Decentralized POMDPs FA Oliehoek, C Amato | 1191 | 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 | 689 | 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 | 605 | 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 | 313 | 2020 |
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 | 147 | 2008 |
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 | 146 | 2020 |
Decentralized POMDPs FA Oliehoek Reinforcement Learning: State of the Art, 2012 | 141 | 2012 |
Scalable Planning and Learning for Multiagent POMDPs: Extended Version C Amato, FA Oliehoek arXiv preprint arXiv:1404.1140, 2014 | 128* | 2014 |
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 | 97 | 2017 |
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions E van der Pol, T Kipf, FA Oliehoek, M Welling arXiv preprint arXiv:2002.11963, 2020 | 86 | 2020 |
Learning in POMDPs with Monte Carlo Tree Search S Katt, FA Oliehoek, C Amato International Conference on Machine Learning, 1819-1827, 2017 | 85 | 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 | 82* | 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 | 82 | 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 | 76 | 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 | 68 | 2013 |
Influence-Based Abstraction for Multiagent Systems FA Oliehoek, SJ Witwicki, LP Kaelbling Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence …, 2012 | 65 | 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 | 62 | 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 | 62 | 2011 |
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 | 57 | 2017 |
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 | 55 | 2019 |