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Difference Rewards Policy Gradients


Dec 21, 2020
Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani

* This work as been accepted as an Extended Abstract in Proc. of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), U. Endriss, A. Now\'e, F. Dignum, A. Lomuscio (eds.), May 3-7 2021, Online 

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Analog Circuit Design with Dyna-Style Reinforcement Learning


Nov 16, 2020
Wook Lee, Frans A. Oliehoek

* NeurIPS 2020 Workshop on Machine Learning for Engineering Modeling, Simulation and Design 

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Loss Bounds for Approximate Influence-Based Abstraction


Nov 03, 2020
Elena Congeduti, Alexander Mey, Frans A. Oliehoek

* 13 pages, 10 figures 

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Multi-agent active perception with prediction rewards


Oct 22, 2020
Mikko Lauri, Frans A. Oliehoek

* 34th Conference on Neural Information Processing Systems (NeurIPS 2020) 

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Influence-Augmented Online Planning for Complex Environments


Oct 21, 2020
Jinke He, Miguel Suau, Frans A. Oliehoek

* NeurIPS 2020 

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Exploiting Submodular Value Functions For Scaling Up Active Perception


Sep 21, 2020
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan

* Autonomous Robot 42 2018. Original article available via Springer journal open access: https://link.springer.com/article/10.1007/s10514-017-9666-5 

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Real-Time Resource Allocation for Tracking Systems


Sep 21, 2020
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Henri Bouma

* UAI 2017 
* http://auai.org/uai2017/proceedings/papers/130.pdf 

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MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning


Jun 30, 2020
Elise van der Pol, Daniel E. Worrall, Herke van Hoof, Frans A. Oliehoek, Max Welling


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Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking


May 15, 2020
Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do

* 28 pages, 15 figures 

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Diversity in Action: General-Sum Multi-Agent Continuous Inverse Optimal Control


Apr 27, 2020
Christian Muench, Frans A. Oliehoek, Dariu M. Gavrila

* 16 pages, 6 figures 

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Mimicking Evolution with Reinforcement Learning


Mar 31, 2020
João P. Abrantes, Arnaldo J. Abrantes, Frans A. Oliehoek

* 18 pages, 7 figures 

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Plannable Approximations to MDP Homomorphisms: Equivariance under Actions


Feb 27, 2020
Elise van der Pol, Thomas Kipf, Frans A. Oliehoek, Max Welling

* To appear in Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2020) 

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A Sufficient Statistic for Influence in Structured Multiagent Environments


Jul 22, 2019
Frans A. Oliehoek, Stefan Witwicki, Leslie P. Kaelbling


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Learning from Demonstration in the Wild


Nov 08, 2018
Feryal Behbahani, Kyriacos Shiarlis, Xi Chen, Vitaly Kurin, Sudhanshu Kasewa, Ciprian Stirbu, João Gomes, Supratik Paul, Frans A. Oliehoek, João Messias, Shimon Whiteson

* 8 pages, 6 figures 

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Beyond Local Nash Equilibria for Adversarial Networks


Jul 26, 2018
Frans A. Oliehoek, Rahul Savani, Jose Gallego, Elise van der Pol, Roderich Groß

* Supersedes arXiv:1712.00679; v2 includes Fictitious GAN in the related work and refers to Danskin (1981) 

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Learning in POMDPs with Monte Carlo Tree Search


Jun 14, 2018
Sammie Katt, Frans A. Oliehoek, Christopher Amato

* Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1819-1827, 2017 

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GANGs: Generative Adversarial Network Games


Dec 17, 2017
Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Edwin D. de Jong, Roderich Gross

* 9 pages, 5 figures 

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Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information


Jun 22, 2016
Auke J. Wiggers, Frans A. Oliehoek, Diederik M. Roijers


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Probably Approximately Correct Greedy Maximization


Feb 25, 2016
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek


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Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs (Extended Version)


Feb 20, 2016
Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer

* Extended version of AAAI 2016 paper 

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Solving Transition-Independent Multi-agent MDPs with Sparse Interactions (Extended version)


Feb 11, 2016
Joris Scharpff, Diederik M. Roijers, Frans A. Oliehoek, Matthijs T. J. Spaan, Mathijs M. de Weerdt

* This article is an extended version of the paper that was published under the same title in the Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI16), held in Phoenix, Arizona USA on February 12-17, 2016 

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Scaling POMDPs For Selecting Sellers in E-markets-Extended Version


Dec 09, 2015
Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang


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Influence-Optimistic Local Values for Multiagent Planning --- Extended Version


Jul 20, 2015
Frans A. Oliehoek, Matthijs T. J. Spaan, Stefan Witwicki

* Long version of IJCAI 2015 paper (and extended abstract at AAMAS 2015) 

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Scalable Planning and Learning for Multiagent POMDPs: Extended Version


Dec 20, 2014
Christopher Amato, Frans A. Oliehoek


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Exploiting Agent and Type Independence in Collaborative Graphical Bayesian Games


Apr 25, 2014
Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan


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Exploiting Structure in Cooperative Bayesian Games


Oct 16, 2012
Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan

* Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012) 

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Optimal and Approximate Q-value Functions for Decentralized POMDPs


Oct 31, 2011
Frans A. Oliehoek, Matthijs T. J. Spaan, Nikos Vlassis

* Journal Of Artificial Intelligence Research, Volume 32, pages 289-353, 2008 

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