Frans A. Oliehoek

176 papers A* 31A 34B 1Misc 1Journal 89Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CoMI-IRL: Contrastive Multi-Intention Inverse Reinforcement Learning. CoRR Antonio Mone, Frans A. Oliehoek, Luciano Cavalcante Siebert
2026	J	`jnl`	Sample-Efficient Policy Space Response Oracles with Joint Experience Best Response. CoRR Ariyan Bighashdel, Thiago D. Simão, Frans A. Oliehoek
2025	J	`jnl`	Abstraction for Bayesian Reinforcement Learning in Factored POMDPs. Trans. Mach. Learn. Res. Rolf A. N. Starre, Sammie Katt, Mustafa Mert Çelikok, Marco Loog, Frans A. Oliehoek
2025	—	`ed.`	Artificial Intelligence and Machine Learning - 35th Benelux Conference, BNAIC/Benelearn 2023, Delft, The Netherlands, November 8-10, 2023, Revised Selected Papers BNAIC/BENELEARN Frans A. Oliehoek, Manon Kok, Sicco Verwer
2025	J	`jnl`	Conditional Policy Generator for Dynamic Constraint Satisfaction and Optimization. CoRR Wook Lee, Frans A. Oliehoek
2025	J	`jnl`	Difference rewards policy gradients. Neural Comput. Appl. Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani
2025	A*	`conf`	Exploring Equity of Climate Policies Using Multi-Agent Multi-Objective Reinforcement Learning. IJCAI Palok Biswas, Zuzanna Osika, Isidoro Tamassia, Adit Whorra, Jazmin Zatarain Salazar, Jan H. Kwakkel, Frans A. Oliehoek, Pradeep K. Murukannaiah
2025	J	`jnl`	Exploring Equity of Climate Policies using Multi-Agent Multi-Objective Reinforcement Learning. CoRR Palok Biswas, Zuzanna Osika, Isidoro Tamassia, Adit Whorra, Jazmin Zatarain Salazar, Jan H. Kwakkel, Frans A. Oliehoek, Pradeep K. Murukannaiah
2025	J	`jnl`	Influence Learning in Complex Systems. Trans. Mach. Learn. Res. Elena Congeduti, Roberto Rocchetta, Frans A. Oliehoek
2025	J	`jnl`	Influence-aware memory architectures for deep reinforcement learning in POMDPs. Neural Comput. Appl. Miguel Suau, Jinke He, Elena Congeduti, Rolf A. N. Starre, Aleksander Czechowski, Frans A. Oliehoek
2025	J	`jnl`	Learning to Focus: Prioritizing Informative Histories with Structured Attention Mechanisms in Partially Observable Reinforcement Learning. CoRR Daniel De Dios Allegue, Jinke He, Frans A. Oliehoek
2025	A	`conf`	Multi-Objective Reinforcement Learning for Water Management. AAMAS Zuzanna Osika, Roxana Radulescu, Jazmin Zatarain Salazar, Frans A. Oliehoek, Pradeep K. Murukannaiah
2025	J	`jnl`	Multi-Objective Reinforcement Learning for Water Management. CoRR Zuzanna Osika, Roxana Radulescu, Jazmin Zatarain Salazar, Frans A. Oliehoek, Pradeep K. Murukannaiah
2025	J	`jnl`	Physics-Informed Reinforcement Learning for Large-Scale EV Smart Charging Considering Distribution Network Voltage Constraints. CoRR Stavros Orfanoudakis, Frans A. Oliehoek, Peter Palensky, Pedro P. Vergara
2025	J	`jnl`	SHARPIE: A Modular Framework for Reinforcement Learning and Human-AI Interaction Experiments. CoRR Hüseyin Aydin, Kevin Godin-Dubois, Libio Goncalvez Braz, Floris den Hengst, Kim Baraka, Mustafa Mert Çelikok, Andreas Sauter, Shihan Wang, Frans A. Oliehoek
2025	J	`jnl`	Timing the Match: A Deep Reinforcement Learning Approach for Ride-Hailing and Ride-Pooling Services. CoRR Yiman Bao, Jie Gao, Jinke He, Frans A. Oliehoek, Oded Cats
2025	—	`conf`	Towards an Experimentation Platform for Hybrid Human-AI Sequential Decision-Making. HHAI Hüseyin Aydin, Kevin Godin-Dubois, Libio Goncalvez Braz, Floris den Hengst, Kim Baraka, Mustafa Mert Çelikok, Andreas Sauter, Shihan Wang, Frans A. Oliehoek
2024	J	`jnl`	A Survey on Scenario Theory, Complexity, and Compression-Based Learning and Generalization. IEEE Trans. Neural Networks Learn. Syst. Roberto Rocchetta, Alexander Mey, Frans A. Oliehoek
2024	J	`jnl`	Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL. RLJ Miguel Suau, Matthijs T. J. Spaan, Frans A. Oliehoek
2024	A*	`conf`	Communicating with Speakers and Listeners of Different Pragmatic Levels. EMNLP Kata Naszádi, Frans A. Oliehoek, Christof Monz
2024	J	`jnl`	Communicating with Speakers and Listeners of Different Pragmatic Levels. CoRR Kata Naszádi, Frans A. Oliehoek, Christof Monz
2024	—	`conf`	Explaining Learned Reward Functions with Counterfactual Trajectories. AIEB@ECAI Jan Wehner, Frans A. Oliehoek, Luciano Cavalcante Siebert
2024	J	`jnl`	Explaining Learned Reward Functions with Counterfactual Trajectories. CoRR Jan Wehner, Frans A. Oliehoek, Luciano Cavalcante Siebert
2024	J	`jnl`	Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory. CoRR Mustafa Mert Çelikok, Frans A. Oliehoek, Jan-Willem van de Meent
2024	A	`conf`	Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement Learning. ECAI Zuzanna Osika, Jazmin Zatarain Salazar, Frans A. Oliehoek, Pradeep K. Murukannaiah
2024	J	`jnl`	Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement Learning. CoRR Zuzanna Osika, Jazmin Zatarain Salazar, Frans A. Oliehoek, Pradeep K. Murukannaiah
2024	J	`jnl`	Online Planning in POMDPs with State-Requests. RLJ Raphaël Avalos, Eugenio Bargiacchi, Ann Nowé, Diederik M. Roijers, Frans A. Oliehoek
2024	J	`jnl`	Online Planning in POMDPs with State-Requests. CoRR Raphaël Avalos, Eugenio Bargiacchi, Ann Nowé, Diederik M. Roijers, Frans A. Oliehoek
2024	A*	`conf`	Policy Space Response Oracles: A Survey. IJCAI Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer, Rahul Savani, Frans A. Oliehoek
2024	J	`jnl`	Policy Space Response Oracles: A Survey. CoRR Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer, Rahul Savani, Frans A. Oliehoek
2024	J	`jnl`	SimuDICE: Offline Policy Optimization Through World Model Updates and DICE Estimation. CoRR Catalin E. Brita, Stephan Bongers, Frans A. Oliehoek
2024	J	`jnl`	Task-unaware Lifelong Robot Learning with Retrieval-based Weighted Local Adaptation. CoRR Pengzhi Yang, Xinyu Wang, Ruipeng Zhang, Cong Wang, Frans A. Oliehoek, Jens Kober
2024	A	`conf`	Uncoupled Learning of Differential Stackelberg Equilibria with Commitments. AAMAS Robert T. Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek
2024	A	`conf`	What Model Does MuZero Learn? ECAI Jinke He, Thomas M. Moerland, Joery A. de Vries, Frans A. Oliehoek
2024	J	`jnl`	When Do Off-Policy and On-Policy Policy Gradient Methods Align? CoRR Davide Mambelli, Stephan Bongers, Onno Zoeter, Matthijs T. J. Spaan, Frans A. Oliehoek
2023	J	`jnl`	An Analysis of Model-Based Reinforcement Learning From Abstracted Observations. Trans. Mach. Learn. Res. Rolf A. N. Starre, Marco Loog, Elena Congeduti, Frans A. Oliehoek
2023	J	`jnl`	Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL. CoRR Miguel Suau, Matthijs T. J. Spaan, Frans A. Oliehoek
2023	A*	`conf`	Safe Multi-agent Learning via Trapping Regions. IJCAI Aleksander Czechowski, Frans A. Oliehoek
2023	A	`conf`	Safety Guarantees in Multi-agent Learning via Trapping Regions. AAMAS Aleksander Czechowski, Frans A. Oliehoek
2023	J	`jnl`	Safety Guarantees in Multi-agent Learning via Trapping Regions. CoRR Aleksander Czechowski, Frans A. Oliehoek
2023	J	`jnl`	Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning. Auton. Agents Multi Agent Syst. Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang
2023	J	`jnl`	Towards a Unifying Model of Rationality in Multiagent Systems. CoRR Robert Tyler Loftin, Mustafa Mert Çelikok, Frans A. Oliehoek
2023	J	`jnl`	Uncoupled Learning of Differential Stackelberg Equilibria with Commitments. CoRR Robert Tyler Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek
2023	A*	`conf`	What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization. IJCAI Zuzanna Osika, Jazmin Zatarain Salazar, Diederik M. Roijers, Frans A. Oliehoek, Pradeep K. Murukannaiah
2023	J	`jnl`	What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization. CoRR Zuzanna Osika, Jazmin Zatarain Salazar, Diederik M. Roijers, Frans A. Oliehoek, Pradeep K. Murukannaiah
2023	J	`jnl`	What model does MuZero learn? CoRR Jinke He, Thomas M. Moerland, Frans A. Oliehoek
2022	J	`jnl`	An Analysis of Abstracted Model-Based Reinforcement Learning. CoRR Rolf A. N. Starre, Marco Loog, Frans A. Oliehoek
2022	A	`conf`	BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs. AAMAS Sammie Katt, Hai Nguyen, Frans A. Oliehoek, Christopher Amato
2022	J	`jnl`	BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs. CoRR Sammie Katt, Hai Nguyen, Frans A. Oliehoek, Christopher Amato
2022	A	`conf`	Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs. AAMAS Mustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski
2022	J	`jnl`	Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs. CoRR Mustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski
2022	A*	`conf`	Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems. NeurIPS Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek
2022	J	`jnl`	Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems. CoRR Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek
2022	J	`jnl`	Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems. CoRR Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek
2022	A*	`conf`	Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems. ICML Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek
2022	A	`conf`	MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. AAMAS Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano Cavalcante Siebert
2022	J	`jnl`	MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. CoRR Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano Cavalcante Siebert
2022	—	`conf`	Model-Based Reinforcement Learning with State Abstraction: A Survey. BNAIC/BENELEARN Rolf A. N. Starre, Marco Loog, Frans A. Oliehoek
2022	—	`conf`	Multi Robot Surveillance and Planning in Limited Communication Environments. ICAART (1) Vibhav Inna Kedege, Aleksander Czechowski, Ludo Stellingwerff, Frans A. Oliehoek
2022	A*	`conf`	Multi-Agent MDP Homomorphic Networks. ICLR Elise van der Pol, Herke van Hoof, Frans A. Oliehoek, Max Welling
2022	A*	`conf`	On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games. ICML Robert Tyler Loftin, Frans A. Oliehoek
2022	J	`jnl`	On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games. CoRR Robert Tyler Loftin, Frans A. Oliehoek
2022	A*	`conf`	Online Planning in POMDPs with Self-Improving Simulators. IJCAI Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
2022	J	`jnl`	Online Planning in POMDPs with Self-Improving Simulators. CoRR Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
2022	A	`conf`	Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators. AAMAS Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek
2021	J	`jnl`	A Sufficient Statistic for Influence in Structured Multiagent Environments. J. Artif. Intell. Res. Frans A. Oliehoek, Stefan J. Witwicki, Leslie Pack Kaelbling
2021	A*	`conf`	Abstraction-Guided Policy Recovery from Expert Demonstrations. ICAPS Canmanie T. Ponnambalam, Frans A. Oliehoek, Matthijs T. J. Spaan
2021	J	`jnl`	Analysing factorizations of action-value networks for cooperative multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson
2021	A	`conf`	Difference Rewards Policy Gradients. AAMAS Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani
2021	A	`conf`	Environment Shift Games: Are Multiple Agents the Solution, and not the Problem, to Non-Stationarity? AAMAS Alexander Mey, Frans A. Oliehoek
2021	J	`jnl`	General-Sum Multi-Agent Continuous Inverse Optimal Control. IEEE Robotics Autom. Lett. Christian Neumeyer, Frans A. Oliehoek, Dariu M. Gavrila
2021	A	`conf`	Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork. AAMAS Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang
2021	A	`conf`	Loss Bounds for Approximate Influence-Based Abstraction. AAMAS Elena Congeduti, Alexander Mey, Frans A. Oliehoek
2021	J	`jnl`	Multi-Agent MDP Homomorphic Networks. CoRR Elise van der Pol, Herke van Hoof, Frans A. Oliehoek, Max Welling
2021	—	`conf`	ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility. RRPR Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Frans A. Oliehoek, Annibale Panichella, Przemyslaw Pawelczak, Stjepan Picek, Mathijs de Weerdt, Jan van Gemert
2020	J	`jnl`	A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer Zeynep Akata, Dan Balliet, Maarten de Rijke, Frank Dignum, Virginia Dignum, Guszti Eiben, Antske Fokkens, Davide Grossi, Koen V. Hindriks, Holger H. Hoos, Hayley Hung, Catholijn M. Jonker, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek, Henry Prakken, Stefan Schlobach, Linda C. van der Gaag, Frank van Harmelen, Herke van Hoof, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij, Piek Vossen, Max Welling
2020	J	`jnl`	Analog Circuit Design with Dyna-Style Reinforcement Learning. CoRR Wook Lee, Frans A. Oliehoek
2020	A*	`conf`	Decentralized MCTS via Learned Teammate Models. IJCAI Aleksander Czechowski, Frans A. Oliehoek
2020	J	`jnl`	Decentralized MCTS via Learned Teammate Models. CoRR Aleksander Czechowski, Frans A. Oliehoek
2020	J	`jnl`	Difference Rewards Policy Gradients. CoRR Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani
2020	J	`jnl`	Diversity in Action: General-Sum Multi-Agent Continuous Inverse Optimal Control. CoRR Christian Muench, Frans A. Oliehoek, Dariu M. Gavrila
2020	J	`jnl`	Exploiting Submodular Value Functions For Scaling Up Active Perception. CoRR Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan
2020	A*	`conf`	Influence-Augmented Online Planning for Complex Environments. NeurIPS Jinke He, Miguel Suau, Frans A. Oliehoek
2020	J	`jnl`	Influence-Augmented Online Planning for Complex Environments. CoRR Jinke He, Miguel Suau, Frans A. Oliehoek
2020	J	`jnl`	Loss Bounds for Approximate Influence-Based Abstraction. CoRR Elena Congeduti, Alexander Mey, Frans A. Oliehoek
2020	A*	`conf`	MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning. NeurIPS Elise van der Pol, Daniel E. Worrall, Herke van Hoof, Frans A. Oliehoek, Max Welling
2020	J	`jnl`	MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning. CoRR Elise van der Pol, Daniel E. Worrall, Herke van Hoof, Frans A. Oliehoek, Max Welling
2020	J	`jnl`	Maximizing Information Gain in Partially Observable Environments via Prediction Reward. CoRR Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White
2020	A	`conf`	Maximizing Information Gain in Partially Observable Environments via Prediction Rewards. AAMAS Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White
2020	J	`jnl`	Mimicking Evolution with Reinforcement Learning. CoRR João P. Abrantes, Arnaldo J. Abrantes, Frans A. Oliehoek
2020	A*	`conf`	Multi-agent active perception with prediction rewards. NeurIPS Mikko Lauri, Frans A. Oliehoek
2020	J	`jnl`	Multi-agent active perception with prediction rewards. CoRR Mikko Lauri, Frans A. Oliehoek
2020	A	`conf`	Plannable Approximations to MDP Homomorphisms: Equivariance under Actions. AAMAS Elise van der Pol, Thomas Kipf, Frans A. Oliehoek, Max Welling
2020	J	`jnl`	Plannable Approximations to MDP Homomorphisms: Equivariance under Actions. CoRR Elise van der Pol, Thomas N. Kipf, Frans A. Oliehoek, Max Welling
2020	J	`jnl`	Real-Time Resource Allocation for Tracking Systems. CoRR Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Henri Bouma
2020	J	`jnl`	ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility. CoRR Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Frans A. Oliehoek, Annibale Panichella, Przemyslaw Pawelczak, Stjepan Picek, Mathijs de Weerdt, Jan van Gemert
2020	B	`conf`	Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. IJCNN Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do
2020	J	`jnl`	Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. CoRR Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do
2019	J	`jnl`	A Sufficient Statistic for Influence in Structured Multiagent Environments. CoRR Frans A. Oliehoek, Stefan J. Witwicki, Leslie Pack Kaelbling
2019	—	`conf`	Bayesian RL in Factored POMDPs. BNAIC/BENELEARN Sammie Katt, Frans A. Oliehoek, Chris Amato
2019	A	`conf`	Bayesian Reinforcement Learning in Factored POMDPs. AAMAS Sammie Katt, Frans A. Oliehoek, Christopher Amato
2019	J	`jnl`	Influence-aware Memory for Deep Reinforcement Learning. CoRR Miguel Suau, Elena Congeduti, Rolf Starre, Aleksander Czechowski, Frans A. Oliehoek
2019	A*	`conf`	Learning From Demonstration in the Wild. ICRA Feryal M. P. Behbahani, Kyriacos Shiarlis, Xi Chen, Vitaly Kurin, Sudhanshu Kasewa, Ciprian Stirbu, João Gomes, Supratik Paul, Frans A. Oliehoek, João V. Messias, Shimon Whiteson
2019	A	`conf`	The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning. AAMAS Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson
2019	J	`jnl`	The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning. CoRR Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson
2018	J	`jnl`	Bayesian Reinforcement Learning in Factored POMDPs. CoRR Sammie Katt, Frans A. Oliehoek, Christopher Amato
2018	—	`conf`	Beyond Local Nash Equilibria for Adversarial Networks. BNCAI Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Roderich Groß
2018	J	`jnl`	Beyond Local Nash Equilibria for Adversarial Networks. CoRR Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Roderich Groß
2018	J	`jnl`	Exploiting submodular value functions for scaling up active perception. Auton. Robots Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan
2018	A*	`conf`	Interactive Learning and Decision Making: Foundations, Insights & Challenges. IJCAI Frans A. Oliehoek
2018	J	`jnl`	Learning from Demonstration in the Wild. CoRR Feryal M. P. Behbahani, Kyriacos Shiarlis, Xi Chen, Vitaly Kurin, Sudhanshu Kasewa, Ciprian Stirbu, João Gomes, Supratik Paul, Frans A. Oliehoek, João V. Messias, Shimon Whiteson
2018	J	`jnl`	Learning in POMDPs with Monte Carlo Tree Search. CoRR Sammie Katt, Frans A. Oliehoek, Christopher Amato
2018	—	`conf`	Model-Based Reinforcement Learning under Periodical Observability. AAAI Spring Symposia Richard Klíma, Karl Tuyls, Frans A. Oliehoek
2018	J	`jnl`	Reports on the 2018 AAAI Spring Symposium Series. AI Mag. Christopher Amato, Haitham Bou-Ammar, Elizabeth F. Churchill, Erez Karpas, Takashi Kido, Mike Kuniavsky, William F. Lawless, Francesca Rossi, Frans A. Oliehoek, Stephen Russell, Keiki Takadama, Siddharth Srivastava, Karl Tuyls, Philip van Allen, K. Brent Venable, Peter Vrancx, Shiqi Zhang
2017	A	`conf`	Decentralised Online Planning for Multi-Robot Warehouse Commissioning. AAMAS Daniel Claes, Frans A. Oliehoek, Hendrik Baier, Karl Tuyls
2017	J	`jnl`	GANGs: Generative Adversarial Network Games. CoRR Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Edwin D. de Jong, Roderich Gross
2017	A*	`conf`	Learning in POMDPs with Monte Carlo Tree Search. ICML Sammie Katt, Frans A. Oliehoek, Christopher Amato
2017	A	`conf`	LiftUpp: Support to Develop Learner Performance. AIED Frans A. Oliehoek, Rahul Savani, Elliot Adderton, Xia Cui, David Jackson, Phil Jimmieson, John Christopher Jones, Keith Kennedy, Ben Mason, Adam Plumbley, Luke Dawson
2017	J	`jnl`	LiftUpp: Support to develop learner performance. CoRR Frans A. Oliehoek, Rahul Savani, Elliot Adderton, Xia Cui, David Jackson, Phil Jimmieson, John Christopher Jones, Keith Kennedy, Ben Mason, Adam Plumbley, Luke Dawson
2017	A*	`conf`	Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method. AAAI Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans A. Oliehoek, Ulrich Fastenrath
2017	A	`conf`	Real-Time Resource Allocation for Tracking Systems. UAI Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Henri Bouma
2017	J	`jnl`	The MADP Toolbox: An Open Source Library for Planning and Learning in (Multi-)Agent Systems. J. Mach. Learn. Res. Frans A. Oliehoek, Matthijs T. J. Spaan, Bas Terwijn, Philipp Robbel, João V. Messias
2016	—	`book`	A Concise Introduction to Decentralized POMDPs Frans A. Oliehoek, Christopher Amato
2016	A*	`conf`	A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs. AAAI Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang
2016	A*	`conf`	Energy- and Cost-Efficient Pumping Station Control. AAAI Timon V. Kanters, Frans A. Oliehoek, Michael Kaisers, Stan R. van den Bosch, Joep Grispen, Jeroen Hermans
2016	A*	`conf`	Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs. AAAI Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer
2016	A*	`conf`	PAC Greedy Maximization with Efficient Bounds on Information Gain for Sensor Selection. IJCAI Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
2016	J	`jnl`	Probably Approximately Correct Greedy Maximization. CoRR Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
2016	A	`conf`	Probably Approximately Correct Greedy Maximization: (Extended Abstract). AAMAS Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
2016	J	`jnl`	Reports of the AAAI 2016 Spring Symposium Series. AI Mag. Christopher Amato, Ofra Amir, Joanna Bryson, Barbara J. Grosz, Bipin Indurkhya, Emre Kiciman, Takashi Kido, William F. Lawless, Miao Liu, Braden McDorman, Ross Mead, Frans A. Oliehoek, Andrew Specian, Georgi Stojanov, Keiki Takadama
2016	A*	`conf`	Solving Transition-Independent Multi-Agent MDPs with Sparse Interactions. AAAI Joris Scharpff, Diederik M. Roijers, Frans A. Oliehoek, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt
2016	A	`conf`	Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information. ECAI Auke J. Wiggers, Frans A. Oliehoek, Diederik M. Roijers
2016	J	`jnl`	Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information. CoRR Auke J. Wiggers, Frans A. Oliehoek, Diederik M. Roijers
2016	J	`jnl`	The 2015 AAAI Fall Symposium Series Reports. AI Mag. Nisar Ahmed, Paul Bello, Selmer Bringsjord, Micah Clark, Bradley Hayes, Christopher Miller, Frans A. Oliehoek, Frank Stein, Matthijs T. J. Spaan
2015	J	`jnl`	Computing Convex Coverage Sets for Faster Multi-objective Coordination. J. Artif. Intell. Res. Diederik Marijn Roijers, Shimon Whiteson, Frans A. Oliehoek
2015	A	`conf`	Effective Approximations for Multi-Robot Coordination in Spatially Distributed Tasks. AAMAS Daniel Claes, Philipp Robbel, Frans A. Oliehoek, Karl Tuyls, Daniel Hennes, Wiebe van der Hoek
2015	J	`jnl`	Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs (Extended Version). CoRR Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer
2015	—	`conf`	Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs. AAAI Fall Symposia Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer
2015	A*	`conf`	Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection. AAAI Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek
2015	J	`jnl`	Influence-Optimistic Local Values for Multiagent Planning - Extended Version. CoRR Frans A. Oliehoek, Matthijs T. J. Spaan, Stefan J. Witwicki
2015	A	`conf`	Influence-Optimistic Local Values for Multiagent Planning. AAMAS Frans A. Oliehoek, Matthijs T. J. Spaan, Stefan J. Witwicki
2015	—	`ch.`	Multi-Source Entity Resolution for Genealogical Data. Population Reconstruction Julia Efremova, Bijan Ranjbar Sahraei, Hossein Rahmani, Frans A. Oliehoek, Toon Calders, Karl Tuyls, Gerhard Weiss
2015	A*	`conf`	Point-Based Planning for Multi-Objective POMDPs. IJCAI Diederik Marijn Roijers, Shimon Whiteson, Frans A. Oliehoek
2015	A*	`conf`	Scalable Planning and Learning for Multiagent POMDPs. AAAI Christopher Amato, Frans A. Oliehoek
2015	J	`jnl`	Scaling POMDPs For Selecting Sellers in E-markets-Extended Version. CoRR Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang
2015	A*	`conf`	Secure Routing in Wireless Sensor Networks via POMDPs. IJCAI Athirai Aravazhi Irissappane, Jie Zhang, Frans A. Oliehoek, Partha Sarathi Dutta
2015	J	`jnl`	Solving Transition-Independent Multi-agent MDPs with Sparse Interactions (Extended version). CoRR Joris Scharpff, Diederik M. Roijers, Frans A. Oliehoek, Matthijs T. J. Spaan, Mathijs de Weerdt
2015	—	`conf`	The MADP Toolbox: An Open-Source Library for Planning and Learning in (Multi-)Agent Systems. AAAI Fall Symposia Frans A. Oliehoek, Matthijs T. J. Spaan, Philipp Robbel, João V. Messias
2014	A	`conf`	A POMDP based approach to optimally select sellers in electronic marketplaces. AAMAS Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang
2014	A*	`conf`	Bounded Approximations for Linear Multi-Objective Planning Under Uncertainty. ICAPS Diederik Marijn Roijers, Joris Scharpff, Matthijs T. J. Spaan, Frans A. Oliehoek, Mathijs de Weerdt, Shimon Whiteson
2014	A	`conf`	Linear support for multi-objective coordination graphs. AAMAS Diederik M. Roijers, Shimon Whiteson, Frans A. Oliehoek
2014	J	`jnl`	Scalable Planning and Learning for Multiagent POMDPs. CoRR Christopher Amato, Frans A. Oliehoek
2013	A	`conf`	Approximate solutions for factored Dec-POMDPs with many agents. AAMAS Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
2013	—	`conf`	Computing Convex Coverage Sets for Multi-objective Coordination Graphs. ADT Diederik M. Roijers, Shimon Whiteson, Frans A. Oliehoek
2013	J	`jnl`	Incremental Clustering and Expansion for Faster Optimal Planning in Dec-POMDPs. J. Artif. Intell. Res. Frans A. Oliehoek, Matthijs T. J. Spaan, Christopher Amato, Shimon Whiteson
2013	A	`conf`	Multi-objective variable elimination for collaborative graphical games. AAMAS Diederik M. Roijers, Shimon Whiteson, Frans A. Oliehoek
2012	—	`ch.`	Decentralized POMDPs. Reinforcement Learning Frans A. Oliehoek
2012	J	`jnl`	Exploiting Structure in Cooperative Bayesian Games CoRR Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
2012	A	`conf`	Exploiting Structure in Cooperative Bayesian Games. UAI Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
2012	A	`conf`	Heuristic search of multiagent influence space. AAMAS Stefan J. Witwicki, Frans A. Oliehoek, Leslie Pack Kaelbling
2012	A	`conf`	Tree-based pruning for multiagent POMDPs with delayed communication. AAMAS Frans A. Oliehoek, Matthijs T. J. Spaan
2011	J	`jnl`	Exploiting Agent and Type Independence in Collaborative Graphical Bayesian Games CoRR Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
2011	J	`jnl`	Optimal and Approximate Q-value Functions for Decentralized POMDPs CoRR Frans A. Oliehoek, Matthijs T. J. Spaan, Nikos Vlassis
2011	A*	`conf`	Scaling Up Optimal Heuristic Search in Dec-POMDPs via Incremental Expansion. IJCAI Matthijs T. J. Spaan, Frans A. Oliehoek, Christopher Amato
2010	—	`ch.`	A Decision-Theoretic Approach to Collaboration: Principal Description Methods and Efficient Heuristic Approximations. Interactive Collaborative Information Systems Frans A. Oliehoek, Arnoud Visser
2010	A	`conf`	Heuristic search for identical payoff Bayesian games. AAMAS Frans A. Oliehoek, Matthijs T. J. Spaan, Jilles Steeve Dibangoye, Christopher Amato
2009	—	`conf`	Lossless clustering of histories in decentralized POMDPs. AAMAS (1) Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
2008	—	`conf`	Exploiting locality of interaction in factored Dec-POMDPs. AAMAS (1) Frans A. Oliehoek, Matthijs T. J. Spaan, Shimon Whiteson, Nikos Vlassis
2008	A*	`conf`	Multiagent Planning Under Uncertainty with Stochastic Communication Delays. ICAPS Matthijs T. J. Spaan, Frans A. Oliehoek, Nikos Vlassis
2008	J	`jnl`	Optimal and Approximate Q-value Functions for Decentralized POMDPs. J. Artif. Intell. Res. Frans A. Oliehoek, Matthijs T. J. Spaan, Nikos Vlassis
2008	J	`jnl`	The Cross-Entropy Method for Policy Search in Decentralized POMDPs. Informatica (Slovenia) Frans A. Oliehoek, Julian F. P. Kooij, Nikos Vlassis
2007	Misc	`conf`	A Cross-Entropy Approach to Solving Dec-POMDPs. IDC Frans A. Oliehoek, Julian F. P. Kooij, Nikos Vlassis
2007	—	`conf`	Q-value Heuristics for Approximate Solutions of Dec-POMDPs. AAAI Spring Symposium: Game Theoretic and Decision Theoretic Agents Frans A. Oliehoek, Nikos Vlassis
2007	A	`conf`	Q-value functions for decentralized POMDPs. AAMAS Frans A. Oliehoek, Nikos Vlassis
2006	A	`conf`	The parallel Nash Memory for asymmetric games. GECCO Frans A. Oliehoek, Edwin D. de Jong, Nikos Vlassis
2005	—	`conf`	Coevolutionary Nash in poker games. BNAIC Frans A. Oliehoek, Nikos Vlassis, Edwin D. de Jong