Frans A. Oliehoek

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 104

Top Venues

Publications

Mustafa Mert Çelikok, Frans A. Oliehoek, Jan-Willem van de Meent
Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory. CoRR (2024)
Robert T. Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments. AAMAS (2024)
Davide Mambelli, Stephan Bongers, Onno Zoeter, Matthijs T. J. Spaan, Frans A. Oliehoek
When Do Off-Policy and On-Policy Policy Gradient Methods Align? CoRR (2024)
Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer, Rahul Savani, Frans A. Oliehoek
Policy Space Response Oracles: A Survey. CoRR (2024)
Jan Wehner, Frans A. Oliehoek, Luciano Cavalcante Siebert
Explaining Learned Reward Functions with Counterfactual Trajectories. CoRR (2024)
Raphaël Avalos, Eugenio Bargiacchi, Ann Nowé, Diederik M. Roijers, Frans A. Oliehoek
Online Planning in POMDPs with State-Requests. CoRR (2024)
Aleksander Czechowski, Frans A. Oliehoek
Safety Guarantees in Multi-agent Learning via Trapping Regions. CoRR (2023)
Robert Loftin, Mustafa Mert Çelikok, Frans A. Oliehoek
Towards a Unifying Model of Rationality in Multiagent Systems. CoRR (2023)
Rolf A. N. Starre, Marco Loog, Elena Congeduti, Frans A. Oliehoek
An Analysis of Model-Based Reinforcement Learning From Abstracted Observations. Trans. Mach. Learn. Res. 2023 (2023)
Aleksander Czechowski, Frans A. Oliehoek
Safe Multi-agent Learning via Trapping Regions. IJCAI (2023)
Robert Loftin, Mustafa Mert Çelikok, Herke van Hoof, Samuel Kaski, Frans A. Oliehoek
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments. CoRR (2023)
Zuzanna Osika, Jazmin Zatarain Salazar, Diederik M. Roijers, Frans A. Oliehoek, Pradeep K. Murukannaiah
What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization. CoRR (2023)
Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang
Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning. Auton. Agents Multi Agent Syst. 37 (2) (2023)
Jinke He, Thomas M. Moerland, Frans A. Oliehoek
What model does MuZero learn? CoRR (2023)
Miguel Suau, Matthijs T. J. Spaan, Frans A. Oliehoek
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL. CoRR (2023)
Zuzanna Osika, Jazmin Zatarain Salazar, Diederik M. Roijers, Frans A. Oliehoek, Pradeep K. Murukannaiah
What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization. IJCAI (2023)
Aleksander Czechowski, Frans A. Oliehoek
Safety Guarantees in Multi-agent Learning via Trapping Regions. AAMAS (2023)
Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems. NeurIPS (2022)
Rolf A. N. Starre, Marco Loog, Frans A. Oliehoek
An Analysis of Abstracted Model-Based Reinforcement Learning. CoRR (2022)
Elise van der Pol, Herke van Hoof, Frans A. Oliehoek, Max Welling
Multi-Agent MDP Homomorphic Networks. ICLR (2022)
Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems. CoRR (2022)
Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
Online Planning in POMDPs with Self-Improving Simulators. IJCAI (2022)
Mustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski
Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs. CoRR (2022)
Mustafa Mert Çelikok, Frans A. Oliehoek, Samuel Kaski
Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs. AAMAS (2022)
Vibhav Inna Kedege, Aleksander Czechowski, Ludo Stellingwerff, Frans A. Oliehoek
Multi Robot Surveillance and Planning in Limited Communication Environments. ICAART (1) (2022)
Rolf A. N. Starre, Marco Loog, Frans A. Oliehoek
Model-Based Reinforcement Learning with State Abstraction: A Survey. BNAIC/BENELEARN (2022)
Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek
Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators. AAMAS (2022)
Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano Cavalcante Siebert
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. CoRR (2022)
Sammie Katt, Hai Nguyen, Frans A. Oliehoek, Christopher Amato
BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs. AAMAS (2022)
Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems. ICML (2022)
Miguel Suau, Jinke He, Mustafa Mert Çelikok, Matthijs T. J. Spaan, Frans A. Oliehoek
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems. CoRR (2022)
Markus Peschl, Arkady Zgonnikov, Frans A. Oliehoek, Luciano Cavalcante Siebert
MORAL: Aligning AI with Human Norms through Multi-Objective Reinforced Active Learning. AAMAS (2022)
Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek
Online Planning in POMDPs with Self-Improving Simulators. CoRR (2022)
Robert Loftin, Frans A. Oliehoek
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games. CoRR (2022)
Robert Loftin, Frans A. Oliehoek
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games. ICML (2022)
Sammie Katt, Hai Nguyen, Frans A. Oliehoek, Christopher Amato
BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs. CoRR (2022)
Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang
Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork. AAMAS (2021)
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
ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility. RRPR (2021)
Elena Congeduti, Alexander Mey, Frans A. Oliehoek
Loss Bounds for Approximate Influence-Based Abstraction. AAMAS (2021)
Canmanie T. Ponnambalam, Frans A. Oliehoek, Matthijs T. J. Spaan
Abstraction-Guided Policy Recovery from Expert Demonstrations. ICAPS (2021)
Elise van der Pol, Herke van Hoof, Frans A. Oliehoek, Max Welling
Multi-Agent MDP Homomorphic Networks. CoRR (2021)
Frans A. Oliehoek, Stefan J. Witwicki, Leslie Pack Kaelbling
A Sufficient Statistic for Influence in Structured Multiagent Environments. J. Artif. Intell. Res. 70 (2021)
Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani
Difference Rewards Policy Gradients. AAMAS (2021)
Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson
Analysing factorizations of action-value networks for cooperative multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 35 (2) (2021)
Alexander Mey, Frans A. Oliehoek
Environment Shift Games: Are Multiple Agents the Solution, and not the Problem, to Non-Stationarity? AAMAS (2021)
Christian Neumeyer, Frans A. Oliehoek, Dariu M. Gavrila
General-Sum Multi-Agent Continuous Inverse Optimal Control. IEEE Robotics Autom. Lett. 6 (2) (2021)
João P. Abrantes, Arnaldo J. Abrantes, Frans A. Oliehoek
Mimicking Evolution with Reinforcement Learning. CoRR (2020)
Aleksander Czechowski, Frans A. Oliehoek
Decentralized MCTS via Learned Teammate Models. CoRR (2020)
Mikko Lauri, Frans A. Oliehoek
Multi-agent active perception with prediction rewards. CoRR (2020)
Aleksander Czechowski, Frans A. Oliehoek
Decentralized MCTS via Learned Teammate Models. IJCAI (2020)
Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do
Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. CoRR (2020)
Elise van der Pol, Thomas N. Kipf, Frans A. Oliehoek, Max Welling
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions. CoRR (2020)
Elena Congeduti, Alexander Mey, Frans A. Oliehoek
Loss Bounds for Approximate Influence-Based Abstraction. CoRR (2020)
Jinke He, Miguel Suau, Frans A. Oliehoek
Influence-Augmented Online Planning for Complex Environments. CoRR (2020)
Christian Muench, Frans A. Oliehoek, Dariu M. Gavrila
Diversity in Action: General-Sum Multi-Agent Continuous Inverse Optimal Control. CoRR (2020)
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan
Exploiting Submodular Value Functions For Scaling Up Active Perception. CoRR (2020)
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
ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility. CoRR (2020)
Elise van der Pol, Daniel E. Worrall, Herke van Hoof, Frans A. Oliehoek, Max Welling
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning. NeurIPS (2020)
Wook Lee, Frans A. Oliehoek
Analog Circuit Design with Dyna-Style Reinforcement Learning. CoRR (2020)
Jinke He, Miguel Suau, Frans A. Oliehoek
Influence-Augmented Online Planning for Complex Environments. NeurIPS (2020)
Mikko Lauri, Frans A. Oliehoek
Multi-agent active perception with prediction rewards. NeurIPS (2020)
Elise van der Pol, Thomas Kipf, Frans A. Oliehoek, Max Welling
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions. AAMAS (2020)
Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White
Maximizing Information Gain in Partially Observable Environments via Prediction Rewards. AAMAS (2020)
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
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer 53 (8) (2020)
Flávia Alves, Martin Gairing, Frans A. Oliehoek, Thanh-Toan Do
Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. IJCNN (2020)
Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White
Maximizing Information Gain in Partially Observable Environments via Prediction Reward. CoRR (2020)
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Henri Bouma
Real-Time Resource Allocation for Tracking Systems. CoRR (2020)
Jacopo Castellini, Sam Devlin, Frans A. Oliehoek, Rahul Savani
Difference Rewards Policy Gradients. CoRR (2020)
Elise van der Pol, Daniel E. Worrall, Herke van Hoof, Frans A. Oliehoek, Max Welling
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning. CoRR (2020)
Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson
The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning. AAMAS (2019)
Feryal Behbahani, Kyriacos Shiarlis, Xi Chen, Vitaly Kurin, Sudhanshu Kasewa, Ciprian Stirbu, João Gomes, Supratik Paul, Frans A. Oliehoek, João V. Messias, Shimon Whiteson
Learning From Demonstration in the Wild. ICRA (2019)
Frans A. Oliehoek, Stefan J. Witwicki, Leslie Pack Kaelbling
A Sufficient Statistic for Influence in Structured Multiagent Environments. CoRR (2019)
Sammie Katt, Frans A. Oliehoek, Chris Amato
Bayesian RL in Factored POMDPs. BNAIC/BENELEARN (2019)
Miguel Suau, Elena Congeduti, Rolf Starre, Aleksander Czechowski, Frans A. Oliehoek
Influence-aware Memory for Deep Reinforcement Learning. CoRR (2019)
Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson
The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning. CoRR (2019)
Sammie Katt, Frans A. Oliehoek, Christopher Amato
Bayesian Reinforcement Learning in Factored POMDPs. AAMAS (2019)
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, Kristen Brent Venable, Peter Vrancx, Shiqi Zhang
Reports on the 2018 AAAI Spring Symposium Series. AI Mag. 39 (4) (2018)
Frans A. Oliehoek
Interactive Learning and Decision Making: Foundations, Insights & Challenges. IJCAI (2018)
Richard Klíma, Karl Tuyls, Frans A. Oliehoek
Model-Based Reinforcement Learning under Periodical Observability. AAAI Spring Symposia (2018)
Sammie Katt, Frans A. Oliehoek, Christopher Amato
Bayesian Reinforcement Learning in Factored POMDPs. CoRR (2018)
Sammie Katt, Frans A. Oliehoek, Christopher Amato
Learning in POMDPs with Monte Carlo Tree Search. CoRR (2018)
Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Roderich Groß
Beyond Local Nash Equilibria for Adversarial Networks. CoRR (2018)
Feryal Behbahani, Kyriacos Shiarlis, Xi Chen, Vitaly Kurin, Sudhanshu Kasewa, Ciprian Stirbu, João Gomes, Supratik Paul, Frans A. Oliehoek, João V. Messias, Shimon Whiteson
Learning from Demonstration in the Wild. CoRR (2018)
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan
Exploiting submodular value functions for scaling up active perception. Auton. Robots 42 (2) (2018)
Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Roderich Groß
Beyond Local Nash Equilibria for Adversarial Networks. BNCAI (2018)
Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Edwin D. de Jong, Roderich Gross
GANGs: Generative Adversarial Network Games. CoRR (2017)
Sammie Katt, Frans A. Oliehoek, Christopher Amato
Learning in POMDPs with Monte Carlo Tree Search. ICML (2017)
Daniel Claes, Frans A. Oliehoek, Hendrik Baier, Karl Tuyls
Decentralised Online Planning for Multi-Robot Warehouse Commissioning. AAMAS (2017)
Frans A. Oliehoek, Rahul Savani, Elliot Adderton, Xia Cui, David Jackson, Phil Jimmieson, John Christopher Jones, Keith Kennedy, Ben Mason, Adam Plumbley, Luke Dawson
LiftUpp: Support to develop learner performance. CoRR (2017)
Frans A. Oliehoek, Rahul Savani, Elliot Adderton, Xia Cui, David Jackson, Phil Jimmieson, John Christopher Jones, Keith Kennedy, Ben Mason, Adam Plumbley, Luke Dawson
LiftUpp: Support to Develop Learner Performance. AIED (2017)
Frans A. Oliehoek, Matthijs T. J. Spaan, Bas Terwijn, Philipp Robbel, João V. Messias
The MADP Toolbox: An Open Source Library for Planning and Learning in (Multi-)Agent Systems. J. Mach. Learn. Res. 18 (2017)
Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans A. Oliehoek, Ulrich Fastenrath
Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method. AAAI (2017)
Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Henri Bouma
Real-Time Resource Allocation for Tracking Systems. UAI (2017)
Auke J. Wiggers, Frans A. Oliehoek, Diederik M. Roijers
Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information. ECAI (2016)
Athirai Aravazhi Irissappane, Frans A. Oliehoek, Jie Zhang
A Scalable Framework to Choose Sellers in E-Marketplaces Using POMDPs. AAAI (2016)
Philipp Robbel, Frans A. Oliehoek, Mykel J. Kochenderfer
Exploiting Anonymity in Approximate Linear Programming: Scaling to Large Multiagent MDPs. AAAI (2016)
Timon V. Kanters, Frans A. Oliehoek, Michael Kaisers, Stan R. van den Bosch, Joep Grispen, Jeroen Hermans
Energy- and Cost-Efficient Pumping Station Control. AAAI (2016)
Nisar Ahmed, Paul Bello, Selmer Bringsjord, Micah Clark, Bradley Hayes, Christopher Miller, Frans A. Oliehoek, Frank Stein, Matthijs T. J. Spaan
The 2015 AAAI Fall Symposium Series Reports. AI Mag. 37 (2) (2016)
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
Reports of the AAAI 2016 Spring Symposium Series. AI Mag. 37 (4) (2016)
Joris Scharpff, Diederik M. Roijers, Frans A. Oliehoek, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt
Solving Transition-Independent Multi-Agent MDPs with Sparse Interactions. AAAI (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Frans A. Oliehoek