Matthijs T. J. Spaan

141 papers A* 36A 24B 3C 3Journal 58Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Off-Policy Safe Reinforcement Learning with Constrained Optimistic Exploration. CoRR GuoPeng Li, Matthijs T. J. Spaan, Julian F. P. Kooij
2026	J	`jnl`	On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference. CoRR Moritz A. Zanger, Yijun Wu, Pascal R. van der Vaart, Wendelin Böhmer, Matthijs T. J. Spaan
2026	J	`jnl`	Sparse Masked Attention Policies for Reliable Generalization. CoRR Caroline Horsch, Laurens Engwegen, Max Weltevrede, Matthijs T. J. Spaan, Wendelin Böhmer
2026	J	`jnl`	VariBASed: Variational Bayes-Adaptive Sequential Monte-Carlo Planning for Deep Reinforcement Learning. CoRR Joery A. de Vries, Jinke He, Yaniv Oren, Pascal R. van der Vaart, Mathijs de Weerdt, Matthijs T. J. Spaan
2025	J	`jnl`	Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent Networks. CoRR Joery A. de Vries, Jinke He, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan
2025	J	`jnl`	Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model. CoRR Moritz A. Zanger, Pascal R. van der Vaart, Wendelin Böhmer, Matthijs T. J. Spaan
2025	A*	`conf`	Epistemic Bellman Operators. AAAI Pascal R. van der Vaart, Matthijs T. J. Spaan, Neil Yorke-Smith
2025	A*	`conf`	Epistemic Monte Carlo Tree Search. ICLR Yaniv Oren, Viliam Vadocz, Matthijs T. J. Spaan, Wendelin Boehmer
2025	J	`jnl`	How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning. CoRR Max Weltevrede, Moritz A. Zanger, Matthijs T. J. Spaan, Wendelin Böhmer
2025	J	`jnl`	Large-scale collaborative vehicle routing. Ann. Oper. Res. Johan Los, Frederik Schulte, Margaretha Gansterer, Richard F. Hartl, Matthijs T. J. Spaan, Rudy R. Negenborn
2025	J	`jnl`	Parallelizing Tree Search with Twice Sequential Monte Carlo. CoRR Yaniv Oren, Joery A. de Vries, Pascal R. van der Vaart, Matthijs T. J. Spaan, Wendelin Böhmer
2025	A	`conf`	Pessimistic Iterative Planning with RNNs for Robust POMDPs. ECAI Maris F. L. Galesloot, Marnix Suilen, Thiago D. Simão, Steven Carr, Matthijs T. J. Spaan, Ufuk Topcu, Nils Jansen
2025	J	`jnl`	Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning. CoRR Pascal R. van der Vaart, Neil Yorke-Smith, Matthijs T. J. Spaan
2025	J	`jnl`	RecBayes: Recurrent Bayesian Ad Hoc Teamwork in Large Partially Observable Domains. CoRR João G. Ribeiro, Yaniv Oren, Alberto Sardinha, Matthijs T. J. Spaan, Francisco S. Melo
2025	J	`jnl`	Scaling Safe Policy Improvement: Monte Carlo Tree Search and Policy Iteration Strategies. J. Artif. Intell. Res. Federico Bianchi, Alberto Castellini, Edoardo Zorzi, Thiago D. Simão, Matthijs T. J. Spaan, Alessandro Farinelli
2025	A*	`conf`	Trust-Region Twisted Policy Improvement. ICML Joery A. de Vries, Jinke He, Yaniv Oren, Matthijs T. J. Spaan
2025	J	`jnl`	Trust-Region Twisted Policy Improvement. CoRR Joery A. de Vries, Jinke He, Yaniv Oren, Matthijs T. J. Spaan
2025	J	`jnl`	Universal Value-Function Uncertainties. CoRR Moritz A. Zanger, Max Weltevrede, Yaniv Oren, Pascal R. van der Vaart, Caroline Horsch, Wendelin Böhmer, Matthijs T. J. Spaan
2025	A*	`conf`	VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change. IJCAI Sterre Lutz, Matthijs T. J. Spaan, Anna Lukina
2025	J	`jnl`	VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change. CoRR Sterre Lutz, Matthijs T. J. Spaan, Anna Lukina
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`	Bayesian Ensembles for Exploration in Deep Q-Learning. AAMAS Pascal R. van der Vaart, Neil Yorke-Smith, Matthijs T. J. Spaan
2024	A*	`conf`	Diverse Projection Ensembles for Distributional Reinforcement Learning. ICLR Moritz Akiya Zanger, Wendelin Boehmer, Matthijs T. J. Spaan
2024	J	`jnl`	Explore-Go: Leveraging Exploration for Generalisation in Deep Reinforcement Learning. CoRR Max Weltevrede, Felix Kaubek, Matthijs T. J. Spaan, Wendelin Böhmer
2024	J	`jnl`	Exploring LLMs as a Source of Targeted Synthetic Textual Data to Minimize High Confidence Misclassifications. CoRR Philip Lippmann, Matthijs T. J. Spaan, Jie Yang
2024	J	`jnl`	Pessimistic Iterative Planning for Robust POMDPs. CoRR Maris F. L. Galesloot, Marnix Suilen, Thiago D. Simão, Steven Carr, Matthijs T. J. Spaan, Ufuk Topcu, Nils Jansen
2024	J	`jnl`	Positive Experience Reflection for Agents in Interactive Text Environments. CoRR Philip Lippmann, Matthijs T. J. Spaan, Jie Yang
2024	A*	`conf`	Scalable Safe Policy Improvement for Factored Multi-Agent MDPs. ICML Federico Bianchi, Edoardo Zorzi, Alberto Castellini, Thiago D. Simão, Matthijs T. J. Spaan, Alessandro Farinelli
2024	J	`jnl`	Training on more Reachable Tasks for Generalisation in Reinforcement Learning. CoRR Max Weltevrede, Caroline Horsch, Matthijs T. J. Spaan, Wendelin Böhmer
2024	J	`jnl`	Value Improved Actor Critic Algorithms. CoRR Yaniv Oren, Moritz A. Zanger, Pascal R. van der Vaart, Matthijs T. J. Spaan, Wendelin Böhmer
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`	Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL. CoRR Miguel Suau, Matthijs T. J. Spaan, Frans A. Oliehoek
2023	A*	`conf`	CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration. AAAI Qisong Yang, Matthijs T. J. Spaan
2023	J	`jnl`	Diverse Projection Ensembles for Distributional Reinforcement Learning. CoRR Moritz A. Zanger, Wendelin Böhmer, Matthijs T. J. Spaan
2023	A	`conf`	Reinforcement Learning by Guided Safe Exploration. ECAI Qisong Yang, Thiago D. Simão, Nils Jansen, Simon H. Tindemans, Matthijs T. J. Spaan
2023	J	`jnl`	Reinforcement Learning by Guided Safe Exploration. CoRR Qisong Yang, Thiago D. Simão, Nils Jansen, Simon H. Tindemans, Matthijs T. J. Spaan
2023	J	`jnl`	Safety-constrained reinforcement learning with a distributional safety critic. Mach. Learn. Qisong Yang, Thiago D. Simão, Simon H. Tindemans, Matthijs T. J. Spaan
2023	A*	`conf`	Scalable Safe Policy Improvement via Monte Carlo Tree Search. ICML Alberto Castellini, Federico Bianchi, Edoardo Zorzi, Thiago D. Simão, Alessandro Farinelli, Matthijs T. J. Spaan
2023	J	`jnl`	The Role of Diverse Replay for Generalisation in Reinforcement Learning. CoRR Max Weltevrede, Matthijs T. J. Spaan, Wendelin Böhmer
2022	—	`conf`	A Modern Perspective on Safe Automated Driving for Different Traffic Dynamics Using Constrained Reinforcement Learning. ITSC Danial Kamran, Thiago D. Simão, Qisong Yang, Canmanie T. Ponnambalam, Johannes Fischer, Matthijs T. J. Spaan, Martin Lauer
2022	—	`conf`	Abstraction-Refinement for Hierarchical Probabilistic Models. CAV (1) Sebastian Junges, Matthijs T. J. Spaan
2022	J	`jnl`	Abstraction-Refinement for Hierarchical Probabilistic Models. CoRR Sebastian Junges, Matthijs T. J. Spaan
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	J	`jnl`	Planning with Uncertainty: Deep Exploration in Model-Based Reinforcement Learning. CoRR Yaniv Oren, Matthijs T. J. Spaan, Wendelin Böhmer
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	A*	`conf`	Abstraction-Guided Policy Recovery from Expert Demonstrations. ICAPS Canmanie T. Ponnambalam, Frans A. Oliehoek, Matthijs T. J. Spaan
2021	A	`conf`	AlwaysSafe: Reinforcement Learning without Safety Constraint Violations during Training. AAMAS Thiago D. Simão, Nils Jansen, Matthijs T. J. Spaan
2021	J	`jnl`	Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms. J. Artif. Intell. Res. Frits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan
2021	—	`conf`	Safe Policies for Factored Partially Observable Stochastic Games. Robotics: Science and Systems Steven Carr, Nils Jansen, Sudarshanan Bharadwaj, Matthijs T. J. Spaan, Ufuk Topcu
2021	A*	`conf`	WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning. AAAI Qisong Yang, Thiago D. Simão, Simon H. Tindemans, Matthijs T. J. Spaan
2020	B	`conf`	A Unified Decision-Theoretic Model for Information Gathering and Communication Planning. RO-MAN Jennifer Renoux, Tiago S. Veiga, Pedro U. Lima, Matthijs T. J. Spaan
2020	—	`conf`	Decentralized Combinatorial Auctions for Dynamic and Large-Scale Collaborative Vehicle Routing. ICCL Johan Los, Frederik Schulte, Margaretha Gansterer, Richard F. Hartl, Matthijs T. J. Spaan, Rudy R. Negenborn
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	—	`conf`	Improved Power Flow Methods for DC Grids. ISIE Nils H. Van Der Blij, Dario Chaifouroosh, Claudio A. Cañizares, Thiago Batista Soeiro, Laura M. Ramirez-Elizondo, Matthijs T. J. Spaan, Pavol Bauer
2019	J	`jnl`	Point-Based Value Iteration for Finite-Horizon POMDPs. J. Artif. Intell. Res. Erwin Walraven, Matthijs T. J. Spaan
2019	A*	`conf`	Safe Policy Improvement with Baseline Bootstrapping in Factored Environments. AAAI Thiago D. Simão, Matthijs T. J. Spaan
2019	A*	`conf`	Structure Learning for Safe Policy Improvement. IJCAI Thiago D. Simão, Matthijs T. J. Spaan
2018	A*	`conf`	Bootstrapping LPs in Value Iteration for Multi-Objective and Partially Observable MDPs. ICAPS Diederik M. Roijers, Erwin Walraven, Matthijs T. J. Spaan
2018	A	`conf`	Capacity-aware Sequential Recommendations. AAMAS Frits de Nijs, Georgios Theocharous, Nikos Vlassis, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan
2018	J	`jnl`	Column Generation Algorithms for Constrained POMDPs. J. Artif. Intell. Res. Erwin Walraven, Matthijs T. J. Spaan
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	—	`conf`	Fleet Management for Pickup and Delivery Problems with Multiple Locations and Preferences. LDIC Johan Los, Matthijs T. J. Spaan, Rudy R. Negenborn
2018	A	`conf`	Improving Offline Value-Function Approximations for POMDPs by Reducing Discount Factors. IROS Yi-Chun Chen, Mykel J. Kochenderfer, Matthijs T. J. Spaan
2018	A*	`conf`	Preallocation and Planning Under Stochastic Resource Constraints. AAAI Frits de Nijs, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt
2018	A*	`ed.`	Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, ICAPS 2018, Delft, The Netherlands, June 24-29, 2018. ICAPS Mathijs de Weerdt, Sven Koenig, Gabriele Röger, Matthijs T. J. Spaan
2018	J	`jnl`	Stability and Decentralized Control of Plug-and-Play DC Distribution Grids. IEEE Access Nils H. Van Der Blij, Laura M. Ramirez-Elizondo, Matthijs T. J. Spaan, Pavol Bauer
2017	A*	`conf`	Accelerated Vector Pruning for Optimal POMDP Solvers. AAAI Erwin Walraven, Matthijs T. J. Spaan
2017	A*	`conf`	Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs. AAAI Frits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan
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	A	`conf`	Decoupling a Resource Constraint Through Fictitious Play in Multi-Agent Sequential Decision Making. ECAI Frits de Nijs, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt
2016	A	`conf`	Planning Under Uncertainty for Aggregated Electric Vehicle Charging with Renewable Energy Supply. ECAI Erwin Walraven, Matthijs T. J. Spaan
2016	—	`conf`	Planning under Uncertainty for Aggregated Electric Vehicle Charging Using Markov Decision Processes. AAAI Workshop: AI for Smart Grids and Smart Buildings Erwin Walraven, Matthijs T. J. Spaan
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	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
2016	J	`jnl`	Traffic flow optimization: A reinforcement learning approach. Eng. Appl. Artif. Intell. Erwin Walraven, Matthijs T. J. Spaan, Bram Bakker
2015	A*	`conf`	Best-Response Planning of Thermostatically Controlled Loads under Power Constraints. AAAI Frits de Nijs, Matthijs T. J. Spaan, Mathijs de Weerdt
2015	J	`jnl`	Decision-theoretic planning under uncertainty with information rewards for active cooperative perception. Auton. Agents Multi Agent Syst. Matthijs T. J. Spaan, Tiago S. Veiga, Pedro U. Lima
2015	A*	`conf`	Factored Upper Bounds for Multiagent Planning Problems under Uncertainty with Non-Factored Value Functions. IJCAI Frans Adriaan Oliehoek, Matthijs T. J. Spaan, Stefan J. Witwicki
2015	A	`conf`	Improving Value Function Approximation in Factored POMDPs by Exploiting Model Structure. AAMAS Tiago S. Veiga, Matthijs T. J. Spaan, Pedro U. Lima
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	—	`conf`	Planning Under Uncertainty with Weighted State Scenarios. AAAI Fall Symposia Erwin Walraven, Matthijs T. J. Spaan
2015	A	`conf`	Planning under Uncertainty with Weighted State Scenarios. UAI Erwin Walraven, Matthijs T. J. Spaan
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 testbed for autonomous robot surveillance. AAMAS Stefan J. Witwicki, José Carlos Castillo, Jesús Capitán, João V. Messias, João C. G. Reis, Pedro U. Lima, Francisco S. Melo, Matthijs T. J. Spaan
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`	Decentralized Multi-Robot Cooperation with Auctioned POMDPs. ICAPS Jesús Capitán, Matthijs T. J. Spaan, Luis Merino, Aníbal Ollero
2014	J	`jnl`	Incremental Clustering and Expansion for Faster Optimal Planning in Dec-POMDPs. CoRR Frans Adriaan Oliehoek, Matthijs T. J. Spaan, Christopher Amato, Shimon Whiteson
2014	A*	`conf`	Point-Based POMDP Solving with Factored Value Function Approximation. AAAI Tiago Veiga, Matthijs T. J. Spaan, Pedro U. Lima
2013	A*	`conf`	A Flexible Approach to Modeling Unpredictable Events in MDPs. ICAPS Stefan J. Witwicki, Francisco S. Melo, Jesús Capitán, Matthijs T. J. Spaan
2013	A	`conf`	Approximate solutions for factored Dec-POMDPs with many agents. AAMAS Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
2013	A	`conf`	Coordinating maintenance planning under uncertainty: (demonstration). AAMAS Joris Scharpff, Matthijs T. J. Spaan, Leentje Volker, Mathijs de Weerdt
2013	J	`jnl`	Decentralized multi-robot cooperation with auctioned POMDPs. Int. J. Robotics Res. Jesús Capitán, Matthijs T. J. Spaan, Luis Merino, Aníbal Ollero
2013	A*	`conf`	GSMDPs for Multi-Robot Sequential Decision-Making. AAAI João Vicente Messias, Matthijs T. J. Spaan, Pedro U. Lima
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`	Multiagent POMDPs with asynchronous execution. AAMAS João V. Messias, Matthijs T. J. Spaan, Pedro U. Lima
2013	A*	`conf`	Planning under Uncertainty for Coordinating Infrastructural Maintenance. ICAPS Joris Scharpff, Matthijs T. J. Spaan, Leentje Volker, Mathijs de Weerdt
2012	J	`jnl`	Bayesian-Game-Based Fuzzy Reinforcement Learning Control for Decentralized POMDPs. IEEE Trans. Comput. Intell. AI Games Rajneesh Sharma, Matthijs T. J. Spaan
2012	A*	`conf`	Decentralized multi-robot cooperation with auctioned POMDPs. ICRA Jesús Capitán, Matthijs T. J. Spaan, Luis Merino, Aníbal Ollero
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	—	`ch.`	Partially Observable Markov Decision Processes. Reinforcement Learning Matthijs T. J. Spaan
2012	A*	`conf`	Tree-Based Solution Methods for Multiagent POMDPs with Delayed Communication. AAAI Frans Adriaan Oliehoek, Matthijs T. J. Spaan
2012	A	`conf`	Tree-based pruning for multiagent POMDPs with delayed communication. AAMAS Frans A. Oliehoek, Matthijs T. J. Spaan
2011	—	`conf`	Efficient Offline Communication Policies for Factored Multiagent POMDPs. NIPS João V. Messias, Matthijs T. J. Spaan, Pedro U. Lima
2011	J	`jnl`	Exploiting Agent and Type Independence in Collaborative Graphical Bayesian Games CoRR Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
2011	B	`conf`	Fuzzy reinforcement learning control for decentralized partially observable Markov decision processes. FUZZ-IEEE Rajneesh Sharma, 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	J	`jnl`	Perseus: Randomized Point-based Value Iteration for POMDPs CoRR Matthijs T. J. Spaan, Nikos Vlassis
2011	C	`conf`	QueryPOMDP: POMDP-Based Communication in Multiagent Systems. EUMAS Francisco S. Melo, Matthijs T. J. Spaan, Stefan J. Witwicki
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	B	`conf`	A Bayesian game based adaptive fuzzy controller for multiagent POMDPs. FUZZ-IEEE Rajneesh Sharma, Matthijs T. J. Spaan
2010	A	`conf`	Active cooperative perception in network robot systems using POMDPs. IROS Matthijs T. J. Spaan, Tiago Veiga, Pedro U. Lima
2010	J	`jnl`	Decentralized Sensor Fusion for Ubiquitous Networking Robotics in Urban Areas. Sensors Alberto Sanfeliu, Juan Andrade-Cetto, Marco Barbosa, Richard Bowden, Jesús Capitán, Andreu Corominas Murtra, Andrew Gilbert, John Illingworth, Luis Merino, Josep M. Mirats Tur, Plinio Moreno, Aníbal Ollero, João Sequeira, Matthijs T. J. Spaan
2010	A	`conf`	Fault-tolerant probabilistic sensor fusion for Multi-Agent Systems. IROS Abdolkarim Pahliani, Matthijs T. J. Spaan, Pedro U. Lima
2010	A	`conf`	Heuristic search for identical payoff Bayesian games. AAMAS Frans A. Oliehoek, Matthijs T. J. Spaan, Jilles Steeve Dibangoye, Christopher Amato
2010	A*	`conf`	Multirobot coordination by auctioning POMDPs. ICRA Matthijs T. J. Spaan, Nelson Gonçalves, João Sequeira
2009	A*	`conf`	A Decision-Theoretic Approach to Dynamic Sensor Selection in Camera Networks. ICAPS Matthijs T. J. Spaan, Pedro U. Lima
2009	A	`conf`	Decision-theoretic robot guidance for active cooperative perception. IROS Abdolkarim Pahliani, Matthijs T. J. Spaan, Pedro U. Lima
2009	A	`conf`	ISROBOTNET: A testbed for sensor and robot network systems. IROS Marco Barbosa, Alexandre Bernardino, Dario Figueira, José António Gaspar, Nelson Gonçalves, Pedro U. Lima, Plinio Moreno, Abdolkarim Pahliani, José Santos-Victor, Matthijs T. J. Spaan, João Sequeira
2009	—	`conf`	Lossless clustering of histories in decentralized POMDPs. AAMAS (1) Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan
2009	J	`jnl`	Signal Processing Advances in Robots and Autonomy. EURASIP J. Adv. Signal Process. Frank Ehlers, Fredrik Gustafsson, 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	—	`conf`	Interaction-driven Markov games for decentralized multiagent planning under uncertainty. AAMAS (1) Matthijs T. J. Spaan, Francisco S. Melo
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
2006	A	`conf`	Decentralized planning under uncertainty for teams of communicating agents. AAMAS Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos Vlassis
2006	J	`jnl`	Point-Based Value Iteration for Continuous POMDPs. J. Mach. Learn. Res. Josep M. Porta, Nikos Vlassis, Matthijs T. J. Spaan, Pascal Poupart
2005	J	`jnl`	Non-communicative multi-robot coordination in dynamic environments. Robotics Auton. Syst. Jelle R. Kok, Matthijs T. J. Spaan, Nikos Vlassis
2005	J	`jnl`	Perseus: Randomized Point-based Value Iteration for POMDPs. J. Artif. Intell. Res. Matthijs T. J. Spaan, Nikos Vlassis
2005	A*	`conf`	Planning with Continuous Actions in Partially Observable Environments. ICRA Matthijs T. J. Spaan, Nikos Vlassis
2005	—	`conf`	Real World Multi-agent Systems: Information Sharing, Coordination and Planning. TbiLLC Frans C. A. Groen, Matthijs T. J. Spaan, Jelle R. Kok, Gregor Pavlin
2005	—	`conf`	Robot Planning in Partially Observable Continuous Domains. BNAIC Josep M. Porta, Matthijs T. J. Spaan, Nikos Vlassis
2005	—	`conf`	Robot Planning in Partially Observable Continuous Domains. Robotics: Science and Systems Josep M. Porta, Matthijs T. J. Spaan, Nikos Vlassis
2004	A*	`conf`	A Point-based POMDP Algorithm for Robot Planning. ICRA Matthijs T. J. Spaan, Nikos Vlassis
2002	C	`conf`	Team Coordination among Robotic Soccer Players. RoboCup Matthijs T. J. Spaan, Frans C. A. Groen
2001	C	`conf`	Clockwork Orange: The Dutch RoboSoccer Team. RoboCup Matthijs T. J. Spaan, Marco A. Wiering, Robert Bartelds, Raymond Donkervoort, Pieter P. Jonker, Frans C. A. Groen