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Matthijs T. J. Spaan

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affiliation: Delft University of Technology, Netherlands

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2025
[j21]
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Johan Los, Frederik Schulte, Margaretha Gansterer, Richard F. Hartl, Matthijs T. J. Spaan, Rudy R. Negenborn:
Large-scale collaborative vehicle routing. Ann. Oper. Res. 350(1): 201-233 (2025)
2024
[j20]
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Miguel Suau, Matthijs T. J. Spaan, Frans A. Oliehoek:
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL. RLJ 4: 1711-1732 (2024)
2023
[j19]
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Qisong Yang, Thiago D. Simão, Simon H. Tindemans, Matthijs T. J. Spaan:
Safety-constrained reinforcement learning with a distributional safety critic. Mach. Learn. 112(3): 859-887 (2023)
2021
[j18]
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Frits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan:
Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms. J. Artif. Intell. Res. 70: 955-1001 (2021)
2019
[j17]
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Erwin Walraven, Matthijs T. J. Spaan:
Point-Based Value Iteration for Finite-Horizon POMDPs. J. Artif. Intell. Res. 65: 307-341 (2019)
2018
[j16]
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Nils H. Van Der Blij, Laura M. Ramirez-Elizondo, Matthijs T. J. Spaan, Pavol Bauer:
Stability and Decentralized Control of Plug-and-Play DC Distribution Grids. IEEE Access 6: 63726-63736 (2018)
[j15]
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Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan:
Exploiting submodular value functions for scaling up active perception. Auton. Robots 42(2): 209-233 (2018)
[j14]
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Erwin Walraven, Matthijs T. J. Spaan:
Column Generation Algorithms for Constrained POMDPs. J. Artif. Intell. Res. 62: 489-533 (2018)
2017
[j13]
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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: 89:1-89:5 (2017)
2016
[j12]
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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): 85-90 (2016)
[j11]
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Erwin Walraven, Matthijs T. J. Spaan, Bram Bakker:
Traffic flow optimization: A reinforcement learning approach. Eng. Appl. Artif. Intell. 52: 203-212 (2016)
2015
[j10]
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Matthijs T. J. Spaan, Tiago S. Veiga, Pedro U. Lima:
Decision-theoretic planning under uncertainty with information rewards for active cooperative perception. Auton. Agents Multi Agent Syst. 29(6): 1157-1185 (2015)
2013
[j9]
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Jesús Capitán, Matthijs T. J. Spaan, Luis Merino, Aníbal Ollero:
Decentralized multi-robot cooperation with auctioned POMDPs. Int. J. Robotics Res. 32(6): 650-671 (2013)
[j8]
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Frans A. Oliehoek, Matthijs T. J. Spaan, Christopher Amato, Shimon Whiteson:
Incremental Clustering and Expansion for Faster Optimal Planning in Dec-POMDPs. J. Artif. Intell. Res. 46: 449-509 (2013)
2012
[j7]
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Rajneesh Sharma, Matthijs T. J. Spaan:
Bayesian-Game-Based Fuzzy Reinforcement Learning Control for Decentralized POMDPs. IEEE Trans. Comput. Intell. AI Games 4(4): 309-328 (2012)
2010
[j6]
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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:
Decentralized Sensor Fusion for Ubiquitous Networking Robotics in Urban Areas. Sensors 10(3): 2274-2314 (2010)
2009
[j5]
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Frank Ehlers, Fredrik Gustafsson, Matthijs T. J. Spaan:
Signal Processing Advances in Robots and Autonomy. EURASIP J. Adv. Signal Process. 2009 (2009)
2008
[j4]
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Frans A. Oliehoek, Matthijs T. J. Spaan, Nikos Vlassis:
Optimal and Approximate Q-value Functions for Decentralized POMDPs. J. Artif. Intell. Res. 32: 289-353 (2008)
2006
[j3]
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Josep M. Porta, Nikos Vlassis, Matthijs T. J. Spaan, Pascal Poupart:
Point-Based Value Iteration for Continuous POMDPs. J. Mach. Learn. Res. 7: 2329-2367 (2006)
2005
[j2]
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Matthijs T. J. Spaan, Nikos Vlassis:
Perseus: Randomized Point-based Value Iteration for POMDPs. J. Artif. Intell. Res. 24: 195-220 (2005)
[j1]
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Jelle R. Kok, Matthijs T. J. Spaan, Nikos Vlassis:
Non-communicative multi-robot coordination in dynamic environments. Robotics Auton. Syst. 50(2-3): 99-114 (2005)

Conference and Workshop Papers

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2025
[c79]
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Pascal R. van der Vaart, Matthijs T. J. Spaan, Neil Yorke-Smith:
Epistemic Bellman Operators. AAAI 2025: 20973-20981
[c78]
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Yaniv Oren, Viliam Vadocz, Matthijs T. J. Spaan, Wendelin Boehmer:
Epistemic Monte Carlo Tree Search. ICLR 2025
[c77]
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Sterre Lutz, Matthijs T. J. Spaan, Anna Lukina:
VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change. IJCAI 2025: 457-465
2024
[c76]
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Pascal R. van der Vaart, Neil Yorke-Smith, Matthijs T. J. Spaan:
Bayesian Ensembles for Exploration in Deep Q-Learning. AAMAS 2024: 2528-2530
[c75]
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Moritz Akiya Zanger, Wendelin Boehmer, Matthijs T. J. Spaan:
Diverse Projection Ensembles for Distributional Reinforcement Learning. ICLR 2024
[c74]
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Federico Bianchi, Edoardo Zorzi, Alberto Castellini, Thiago D. Simão, Matthijs T. J. Spaan, Alessandro Farinelli:
Scalable Safe Policy Improvement for Factored Multi-Agent MDPs. ICML 2024
2023
[c73]
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  - conf/aaai/YangS23
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Qisong Yang, Matthijs T. J. Spaan:
CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration. AAAI 2023: 10798-10806
[c72]
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Qisong Yang, Thiago D. Simão, Nils Jansen, Simon H. Tindemans, Matthijs T. J. Spaan:
Reinforcement Learning by Guided Safe Exploration. ECAI 2023: 2858-2865
[c71]
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Alberto Castellini, Federico Bianchi, Edoardo Zorzi, Thiago D. Simão, Alessandro Farinelli, Matthijs T. J. Spaan:
Scalable Safe Policy Improvement via Monte Carlo Tree Search. ICML 2023: 3732-3756
2022
[c70]
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  - conf/atal/SuauHSO22
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Miguel Suau, Jinke He, Matthijs T. J. Spaan, Frans A. Oliehoek:
Speeding up Deep Reinforcement Learning through Influence-Augmented Local Simulators. AAMAS 2022: 1735-1737
[c69]
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  - conf/cav/JungesS22
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Sebastian Junges, Matthijs T. J. Spaan:
Abstraction-Refinement for Hierarchical Probabilistic Models. CAV (1) 2022: 102-123
[c68]
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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: 20604-20624
[c67]
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  - conf/itsc/KamranSYPFSL22
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Danial Kamran, Thiago D. Simão, Qisong Yang, Canmanie T. Ponnambalam, Johannes Fischer, Matthijs T. J. Spaan, Martin Lauer:
A Modern Perspective on Safe Automated Driving for Different Traffic Dynamics Using Constrained Reinforcement Learning. ITSC 2022: 4017-4023
[c66]
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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
2021
[c65]
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Qisong Yang, Thiago D. Simão, Simon H. Tindemans, Matthijs T. J. Spaan:
WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning. AAAI 2021: 10639-10646
[c64]
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Canmanie T. Ponnambalam, Frans A. Oliehoek, Matthijs T. J. Spaan:
Abstraction-Guided Policy Recovery from Expert Demonstrations. ICAPS 2021: 560-568
[c63]
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Thiago D. Simão, Nils Jansen, Matthijs T. J. Spaan:
AlwaysSafe: Reinforcement Learning without Safety Constraint Violations during Training. AAMAS 2021: 1226-1235
[c62]
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  - conf/rss/Carr0BST21
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Steven Carr, Nils Jansen, Sudarshanan Bharadwaj, Matthijs T. J. Spaan, Ufuk Topcu:
Safe Policies for Factored Partially Observable Stochastic Games. Robotics: Science and Systems 2021
2020
[c61]
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Johan Los, Frederik Schulte, Margaretha Gansterer, Richard F. Hartl, Matthijs T. J. Spaan, Rudy R. Negenborn:
Decentralized Combinatorial Auctions for Dynamic and Large-Scale Collaborative Vehicle Routing. ICCL 2020: 215-230
[c60]
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Nils H. Van Der Blij, Dario Chaifouroosh, Claudio A. Cañizares, Thiago Batista Soeiro, Laura M. Ramirez-Elizondo, Matthijs T. J. Spaan, Pavol Bauer:
Improved Power Flow Methods for DC Grids. ISIE 2020: 1135-1140
[c59]
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  - conf/ro-man/RenouxVLS20
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Jennifer Renoux, Tiago S. Veiga, Pedro U. Lima, Matthijs T. J. Spaan:
A Unified Decision-Theoretic Model for Information Gathering and Communication Planning. RO-MAN 2020: 67-74
2019
[c58]
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Thiago D. Simão, Matthijs T. J. Spaan:
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments. AAAI 2019: 4967-4974
[c57]
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Thiago D. Simão, Matthijs T. J. Spaan:
Structure Learning for Safe Policy Improvement. IJCAI 2019: 3453-3459
2018
[c56]
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Frits de Nijs, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt:
Preallocation and Planning Under Stochastic Resource Constraints. AAAI 2018: 4662-4669
[c55]
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Diederik M. Roijers, Erwin Walraven, Matthijs T. J. Spaan:
Bootstrapping LPs in Value Iteration for Multi-Objective and Partially Observable MDPs. ICAPS 2018: 218-226
[c54]
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Frits de Nijs, Georgios Theocharous, Nikos Vlassis, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan:
Capacity-aware Sequential Recommendations. AAMAS 2018: 416-424
[c53]
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Yi-Chun Chen, Mykel J. Kochenderfer, Matthijs T. J. Spaan:
Improving Offline Value-Function Approximations for POMDPs by Reducing Discount Factors. IROS 2018: 3531-3536
[c52]
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Johan Los, Matthijs T. J. Spaan, Rudy R. Negenborn:
Fleet Management for Pickup and Delivery Problems with Multiple Locations and Preferences. LDIC 2018: 86-94
2017
[c51]
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Frits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan:
Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs. AAAI 2017: 3562-3568
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Erwin Walraven, Matthijs T. J. Spaan:
Accelerated Vector Pruning for Optimal POMDP Solvers. AAAI 2017: 3672-3678
2016
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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: 3174-3180
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Erwin Walraven, Matthijs T. J. Spaan:
Planning under Uncertainty for Aggregated Electric Vehicle Charging Using Markov Decision Processes. AAAI Workshop: AI for Smart Grids and Smart Buildings 2016
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Erwin Walraven, Matthijs T. J. Spaan:
Planning Under Uncertainty for Aggregated Electric Vehicle Charging with Renewable Energy Supply. ECAI 2016: 904-912
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Frits de Nijs, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt:
Decoupling a Resource Constraint Through Fictitious Play in Multi-Agent Sequential Decision Making. ECAI 2016: 1724-1725
2015
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Frits de Nijs, Matthijs T. J. Spaan, Mathijs de Weerdt:
Best-Response Planning of Thermostatically Controlled Loads under Power Constraints. AAAI 2015: 615-621
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Frans A. Oliehoek, Matthijs T. J. Spaan, Philipp Robbel, João V. Messias:
The MADP Toolbox: An Open-Source Library for Planning and Learning in (Multi-)Agent Systems. AAAI Fall Symposia 2015: 59-62
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Erwin Walraven, Matthijs T. J. Spaan:
Planning Under Uncertainty with Weighted State Scenarios. AAAI Fall Symposia 2015: 93-94
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Frans A. Oliehoek, Matthijs T. J. Spaan, Stefan J. Witwicki:
Influence-Optimistic Local Values for Multiagent Planning. AAMAS 2015: 1703-1704
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Tiago S. Veiga, Matthijs T. J. Spaan, Pedro U. Lima:
Improving Value Function Approximation in Factored POMDPs by Exploiting Model Structure. AAMAS 2015: 1827-1828
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Frans Adriaan Oliehoek, Matthijs T. J. Spaan, Stefan J. Witwicki:
Factored Upper Bounds for Multiagent Planning Problems under Uncertainty with Non-Factored Value Functions. IJCAI 2015: 1645-1651
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Erwin Walraven, Matthijs T. J. Spaan:
Planning under Uncertainty with Weighted State Scenarios. UAI 2015: 912-921
2014
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Tiago Veiga, Matthijs T. J. Spaan, Pedro U. Lima:
Point-Based POMDP Solving with Factored Value Function Approximation. AAAI 2014: 2513-2519
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Jesús Capitán, Matthijs T. J. Spaan, Luis Merino, Aníbal Ollero:
Decentralized Multi-Robot Cooperation with Auctioned POMDPs. ICAPS 2014
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Diederik Marijn Roijers, Joris Scharpff, Matthijs T. J. Spaan, Frans A. Oliehoek, Mathijs de Weerdt, Shimon Whiteson:
Bounded Approximations for Linear Multi-Objective Planning Under Uncertainty. ICAPS 2014
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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:
A testbed for autonomous robot surveillance. AAMAS 2014: 1635-1636
2013
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João Vicente Messias, Matthijs T. J. Spaan, Pedro U. Lima:
GSMDPs for Multi-Robot Sequential Decision-Making. AAAI 2013: 1408-1414
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Joris Scharpff, Matthijs T. J. Spaan, Leentje Volker, Mathijs de Weerdt:
Planning under Uncertainty for Coordinating Infrastructural Maintenance. ICAPS 2013
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Stefan J. Witwicki, Francisco S. Melo, Jesús Capitán, Matthijs T. J. Spaan:
A Flexible Approach to Modeling Unpredictable Events in MDPs. ICAPS 2013
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Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan:
Approximate solutions for factored Dec-POMDPs with many agents. AAMAS 2013: 563-570
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João V. Messias, Matthijs T. J. Spaan, Pedro U. Lima:
Multiagent POMDPs with asynchronous execution. AAMAS 2013: 1273-1274
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Joris Scharpff, Matthijs T. J. Spaan, Leentje Volker, Mathijs de Weerdt:
Coordinating maintenance planning under uncertainty: (demonstration). AAMAS 2013: 1405-1406
2012
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Frans Adriaan Oliehoek, Matthijs T. J. Spaan:
Tree-Based Solution Methods for Multiagent POMDPs with Delayed Communication. AAAI 2012: 1415-1421
[c27]
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Frans A. Oliehoek, Matthijs T. J. Spaan:
Tree-based pruning for multiagent POMDPs with delayed communication. AAMAS 2012: 1229-1230
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Jesús Capitán, Matthijs T. J. Spaan, Luis Merino, Aníbal Ollero:
Decentralized multi-robot cooperation with auctioned POMDPs. ICRA 2012: 3323-3328
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Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan:
Exploiting Structure in Cooperative Bayesian Games. UAI 2012: 654-665
2011
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Francisco S. Melo, Matthijs T. J. Spaan, Stefan J. Witwicki:
QueryPOMDP: POMDP-Based Communication in Multiagent Systems. EUMAS 2011: 189-204
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Rajneesh Sharma, Matthijs T. J. Spaan:
Fuzzy reinforcement learning control for decentralized partially observable Markov decision processes. FUZZ-IEEE 2011: 1422-1429
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Matthijs T. J. Spaan, Frans A. Oliehoek, Christopher Amato:
Scaling Up Optimal Heuristic Search in Dec-POMDPs via Incremental Expansion. IJCAI 2011: 2027-2032
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João V. Messias, Matthijs T. J. Spaan, Pedro U. Lima:
Efficient Offline Communication Policies for Factored Multiagent POMDPs. NIPS 2011: 1917-1925
2010
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Frans A. Oliehoek, Matthijs T. J. Spaan, Jilles Steeve Dibangoye, Christopher Amato:
Heuristic search for identical payoff Bayesian games. AAMAS 2010: 1115-1122
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Rajneesh Sharma, Matthijs T. J. Spaan:
A Bayesian game based adaptive fuzzy controller for multiagent POMDPs. FUZZ-IEEE 2010: 1-7
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Matthijs T. J. Spaan, Nelson Gonçalves, João Sequeira:
Multirobot coordination by auctioning POMDPs. ICRA 2010: 1446-1451
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Matthijs T. J. Spaan, Tiago Veiga, Pedro U. Lima:
Active cooperative perception in network robot systems using POMDPs. IROS 2010: 4800-4805
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Abdolkarim Pahliani, Matthijs T. J. Spaan, Pedro U. Lima:
Fault-tolerant probabilistic sensor fusion for Multi-Agent Systems. IROS 2010: 4812-4817
2009
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Matthijs T. J. Spaan, Pedro U. Lima:
A Decision-Theoretic Approach to Dynamic Sensor Selection in Camera Networks. ICAPS 2009
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Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan:
Lossless clustering of histories in decentralized POMDPs. AAMAS (1) 2009: 577-584
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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:
ISROBOTNET: A testbed for sensor and robot network systems. IROS 2009: 2827-2833
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Abdolkarim Pahliani, Matthijs T. J. Spaan, Pedro U. Lima:
Decision-theoretic robot guidance for active cooperative perception. IROS 2009: 4837-4842
2008
[c11]
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Matthijs T. J. Spaan, Frans A. Oliehoek, Nikos Vlassis:
Multiagent Planning Under Uncertainty with Stochastic Communication Delays. ICAPS 2008: 338-345
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Frans A. Oliehoek, Matthijs T. J. Spaan, Shimon Whiteson, Nikos Vlassis:
Exploiting locality of interaction in factored Dec-POMDPs. AAMAS (1) 2008: 517-524
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Matthijs T. J. Spaan, Francisco S. Melo:
Interaction-driven Markov games for decentralized multiagent planning under uncertainty. AAMAS (1) 2008: 525-532
2006
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Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos Vlassis:
Decentralized planning under uncertainty for teams of communicating agents. AAMAS 2006: 249-256
2005
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Josep M. Porta, Matthijs T. J. Spaan, Nikos Vlassis:
Robot Planning in Partially Observable Continuous Domains. BNAIC 2005: 375-376
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Matthijs T. J. Spaan, Nikos Vlassis:
Planning with Continuous Actions in Partially Observable Environments. ICRA 2005: 3458-3463
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Josep M. Porta, Matthijs T. J. Spaan, Nikos Vlassis:
Robot Planning in Partially Observable Continuous Domains. Robotics: Science and Systems 2005: 217-224
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Frans C. A. Groen, Matthijs T. J. Spaan, Jelle R. Kok, Gregor Pavlin:
Real World Multi-agent Systems: Information Sharing, Coordination and Planning. TbiLLC 2005: 154-165
2004
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Matthijs T. J. Spaan, Nikos Vlassis:
A Point-based POMDP Algorithm for Robot Planning. ICRA 2004: 2399-2404
2002
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Matthijs T. J. Spaan, Frans C. A. Groen:
Team Coordination among Robotic Soccer Players. RoboCup 2002: 409-416
2001
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Matthijs T. J. Spaan, Marco A. Wiering, Robert Bartelds, Raymond Donkervoort, Pieter P. Jonker, Frans C. A. Groen:
Clockwork Orange: The Dutch RoboSoccer Team. RoboCup 2001: 627-630

Parts in Books or Collections

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2012
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Matthijs T. J. Spaan:
Partially Observable Markov Decision Processes. Reinforcement Learning 2012: 387-414

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2018
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Mathijs de Weerdt, Sven Koenig, Gabriele Röger, Matthijs T. J. Spaan:
Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, ICAPS 2018, Delft, The Netherlands, June 24-29, 2018. AAAI Press 2018, ISBN 978-1-57735-797-1 [contents]

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2025
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Moritz A. Zanger, Pascal R. van der Vaart, Wendelin Böhmer, Matthijs T. J. Spaan:
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model. CoRR abs/2503.11339 (2025)
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Joery A. de Vries, Jinke He, Yaniv Oren, Matthijs T. J. Spaan:
Trust-Region Twisted Policy Improvement. CoRR abs/2504.06048 (2025)
[i29]
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Sterre Lutz, Matthijs T. J. Spaan, Anna Lukina:
VeRecycle: Reclaiming Guarantees from Probabilistic Certificates for Stochastic Dynamical Systems after Change. CoRR abs/2505.14001 (2025)
[i28]
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  - journals/corr/abs-2505-16581
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Max Weltevrede, Moritz A. Zanger, Matthijs T. J. Spaan, Wendelin Böhmer:
How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning. CoRR abs/2505.16581 (2025)
[i27]
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  - journals/corr/abs-2505-18591
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Joery A. de Vries, Jinke He, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan:
Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent Networks. CoRR abs/2505.18591 (2025)
[i26]
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  - journals/corr/abs-2505-21119
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Moritz A. Zanger, Max Weltevrede, Yaniv Oren, Pascal R. van der Vaart, Caroline Horsch, Wendelin Böhmer, Matthijs T. J. Spaan:
Universal Value-Function Uncertainties. CoRR abs/2505.21119 (2025)
[i25]
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  - journals/corr/abs-2506-15756
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João G. Ribeiro, Yaniv Oren, Alberto Sardinha, Matthijs T. J. Spaan, Francisco S. Melo:
RecBayes: Recurrent Bayesian Ad Hoc Teamwork in Large Partially Observable Domains. CoRR abs/2506.15756 (2025)
[i24]
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Pascal R. van der Vaart, Neil Yorke-Smith, Matthijs T. J. Spaan:
Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning. CoRR abs/2508.21488 (2025)
2024
[i23]
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  - journals/corr/abs-2402-12034
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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 abs/2402.12034 (2024)
[i22]
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  - journals/corr/abs-2403-17860
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Philip Lippmann, Matthijs T. J. Spaan, Jie Yang:
Exploring LLMs as a Source of Targeted Synthetic Textual Data to Minimize High Confidence Misclassifications. CoRR abs/2403.17860 (2024)
[i21]
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  - journals/corr/abs-2406-01423
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Yaniv Oren, Moritz A. Zanger, Pascal R. van der Vaart, Matthijs T. J. Spaan, Wendelin Böhmer:
Value Improved Actor Critic Algorithms. CoRR abs/2406.01423 (2024)
[i20]
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  - journals/corr/abs-2406-08069
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Max Weltevrede, Felix Kaubek, Matthijs T. J. Spaan, Wendelin Böhmer:
Explore-Go: Leveraging Exploration for Generalisation in Deep Reinforcement Learning. CoRR abs/2406.08069 (2024)
[i19]
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  - journals/corr/abs-2408-08770
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Maris F. L. Galesloot, Marnix Suilen, Thiago D. Simão, Steven Carr, Matthijs T. J. Spaan, Ufuk Topcu, Nils Jansen:
Pessimistic Iterative Planning for Robust POMDPs. CoRR abs/2408.08770 (2024)
[i18]
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  - journals/corr/abs-2410-03565
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Max Weltevrede, Caroline Horsch, Matthijs T. J. Spaan, Wendelin Böhmer:
Training on more Reachable Tasks for Generalisation in Reinforcement Learning. CoRR abs/2410.03565 (2024)
[i17]
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  - journals/corr/abs-2411-02223
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Philip Lippmann, Matthijs T. J. Spaan, Jie Yang:
Positive Experience Reflection for Agents in Interactive Text Environments. CoRR abs/2411.02223 (2024)
2023
[i16]
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  - journals/corr/abs-2306-02419
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Miguel Suau, Matthijs T. J. Spaan, Frans A. Oliehoek:
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL. CoRR abs/2306.02419 (2023)
[i15]
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  - journals/corr/abs-2306-05727
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Max Weltevrede, Matthijs T. J. Spaan, Wendelin Böhmer:
The Role of Diverse Replay for Generalisation in Reinforcement Learning. CoRR abs/2306.05727 (2023)
[i14]
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Moritz A. Zanger, Wendelin Böhmer, Matthijs T. J. Spaan:
Diverse Projection Ensembles for Distributional Reinforcement Learning. CoRR abs/2306.07124 (2023)
[i13]
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Qisong Yang, Thiago D. Simão, Nils Jansen, Simon H. Tindemans, Matthijs T. J. Spaan:
Reinforcement Learning by Guided Safe Exploration. CoRR abs/2307.14316 (2023)
2022
[i12]
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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 abs/2202.01534 (2022)
[i11]
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Sebastian Junges, Matthijs T. J. Spaan:
Abstraction-Refinement for Hierarchical Probabilistic Models. CoRR abs/2206.02653 (2022)
[i10]
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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 abs/2207.00288 (2022)
[i9]
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  - journals/corr/abs-2210-13455
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Yaniv Oren, Matthijs T. J. Spaan, Wendelin Böhmer:
Planning with Uncertainty: Deep Exploration in Model-Based Reinforcement Learning. CoRR abs/2210.13455 (2022)
2020
[i8]
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  - journals/corr/abs-2009-09696
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Yash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Matthijs T. J. Spaan:
Exploiting Submodular Value Functions For Scaling Up Active Perception. CoRR abs/2009.09696 (2020)
2015
[i7]
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  - journals/corr/OliehoekSW15
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Frans A. Oliehoek, Matthijs T. J. Spaan, Stefan J. Witwicki:
Influence-Optimistic Local Values for Multiagent Planning - Extended Version. CoRR abs/1502.05443 (2015)
[i6]
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  - journals/corr/ScharpffROSW15
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Joris Scharpff, Diederik M. Roijers, Frans A. Oliehoek, Matthijs T. J. Spaan, Mathijs de Weerdt:
Solving Transition-Independent Multi-agent MDPs with Sparse Interactions (Extended version). CoRR abs/1511.09047 (2015)
2014
[i5]
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Frans Adriaan Oliehoek, Matthijs T. J. Spaan, Christopher Amato, Shimon Whiteson:
Incremental Clustering and Expansion for Faster Optimal Planning in Dec-POMDPs. CoRR abs/1402.0566 (2014)
2012
[i4]
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  - journals/corr/abs-1210-4886
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Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan:
Exploiting Structure in Cooperative Bayesian Games. CoRR abs/1210.4886 (2012)
2011
[i3]
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Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan:
Exploiting Agent and Type Independence in Collaborative Graphical Bayesian Games. CoRR abs/1108.0404 (2011)
[i2]
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  - journals/corr/abs-1109-2145
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Matthijs T. J. Spaan, Nikos Vlassis:
Perseus: Randomized Point-based Value Iteration for POMDPs. CoRR abs/1109.2145 (2011)
[i1]
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  - journals/corr/abs-1111-0062
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Frans A. Oliehoek, Matthijs T. J. Spaan, Nikos Vlassis:
Optimal and Approximate Q-value Functions for Decentralized POMDPs. CoRR abs/1111.0062 (2011)

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