default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMatthijs T. J. Spaan
Person information
- affiliation: Delft University of Technology, Netherlands
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c77]Pascal R. van der Vaart, Neil Yorke-Smith, Matthijs T. J. Spaan:
Bayesian Ensembles for Exploration in Deep Q-Learning. AAMAS 2024: 2528-2530- [c76]Moritz Akiya Zanger, Wendelin Boehmer, Matthijs T. J. Spaan:
Diverse Projection Ensembles for Distributional Reinforcement Learning. ICLR 2024 - [c75]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 - [c74]Miguel Suau, Matthijs T. J. Spaan, Frans A. Oliehoek:
Bad Habits: Policy Confounding and Out-of-Trajectory Generalization in RL. RLC 2024: 1711-1732 - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - 2023
- [j19]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) - [c73]Qisong Yang, Matthijs T. J. Spaan:
CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration. AAAI 2023: 10798-10806 - [c72]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]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 - [i16]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]Max Weltevrede, Matthijs T. J. Spaan, Wendelin Böhmer:
The Role of Diverse Replay for Generalisation in Reinforcement Learning. CoRR abs/2306.05727 (2023) - [i14]Moritz A. Zanger, Wendelin Böhmer, Matthijs T. J. Spaan:
Diverse Projection Ensembles for Distributional Reinforcement Learning. CoRR abs/2306.07124 (2023) - [i13]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
- [c70]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]Sebastian Junges, Matthijs T. J. Spaan:
Abstraction-Refinement for Hierarchical Probabilistic Models. CAV (1) 2022: 102-123 - [c68]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]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]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 - [i12]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]Sebastian Junges, Matthijs T. J. Spaan:
Abstraction-Refinement for Hierarchical Probabilistic Models. CoRR abs/2206.02653 (2022) - [i10]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]Yaniv Oren, Matthijs T. J. Spaan, Wendelin Böhmer:
Planning with Uncertainty: Deep Exploration in Model-Based Reinforcement Learning. CoRR abs/2210.13455 (2022) - 2021
- [j18]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) - [c65]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]Canmanie T. Ponnambalam, Frans A. Oliehoek, Matthijs T. J. Spaan:
Abstraction-Guided Policy Recovery from Expert Demonstrations. ICAPS 2021: 560-568 - [c63]Thiago D. Simão, Nils Jansen, Matthijs T. J. Spaan:
AlwaysSafe: Reinforcement Learning without Safety Constraint Violations during Training. AAMAS 2021: 1226-1235 - [c62]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]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]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]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 - [i8]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)
2010 – 2019
- 2019
- [j17]Erwin Walraven, Matthijs T. J. Spaan:
Point-Based Value Iteration for Finite-Horizon POMDPs. J. Artif. Intell. Res. 65: 307-341 (2019) - [c58]Thiago D. Simão, Matthijs T. J. Spaan:
Safe Policy Improvement with Baseline Bootstrapping in Factored Environments. AAAI 2019: 4967-4974 - [c57]Thiago D. Simão, Matthijs T. J. Spaan:
Structure Learning for Safe Policy Improvement. IJCAI 2019: 3453-3459 - 2018
- [j16]Nils H. Van Der Blij, Laura 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]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]Erwin Walraven, Matthijs T. J. Spaan:
Column Generation Algorithms for Constrained POMDPs. J. Artif. Intell. Res. 62: 489-533 (2018) - [c56]Frits de Nijs, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt:
Preallocation and Planning Under Stochastic Resource Constraints. AAAI 2018: 4662-4669 - [c55]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]Frits de Nijs, Georgios Theocharous, Nikos Vlassis, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan:
Capacity-aware Sequential Recommendations. AAMAS 2018: 416-424 - [c53]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]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 - [e1]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] - 2017
- [j13]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) - [c51]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 - [c50]Erwin Walraven, Matthijs T. J. Spaan:
Accelerated Vector Pruning for Optimal POMDP Solvers. AAAI 2017: 3672-3678 - 2016
- [j12]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]Erwin Walraven, Matthijs T. J. Spaan, Bram Bakker:
Traffic flow optimization: A reinforcement learning approach. Eng. Appl. Artif. Intell. 52: 203-212 (2016) - [c49]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 - [c48]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 - [c47]Erwin Walraven, Matthijs T. J. Spaan:
Planning Under Uncertainty for Aggregated Electric Vehicle Charging with Renewable Energy Supply. ECAI 2016: 904-912 - [c46]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
- [j10]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) - [c45]Frits de Nijs, Matthijs T. J. Spaan, Mathijs de Weerdt:
Best-Response Planning of Thermostatically Controlled Loads under Power Constraints. AAAI 2015: 615-621 - [c44]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 - [c43]Erwin Walraven, Matthijs T. J. Spaan:
Planning Under Uncertainty with Weighted State Scenarios. AAAI Fall Symposia 2015: 93-94 - [c42]Frans A. Oliehoek, Matthijs T. J. Spaan, Stefan J. Witwicki:
Influence-Optimistic Local Values for Multiagent Planning. AAMAS 2015: 1703-1704 - [c41]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 - [c40]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 - [c39]Erwin Walraven, Matthijs T. J. Spaan:
Planning under Uncertainty with Weighted State Scenarios. UAI 2015: 912-921 - [i7]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]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
- [c38]Tiago Veiga, Matthijs T. J. Spaan, Pedro U. Lima:
Point-Based POMDP Solving with Factored Value Function Approximation. AAAI 2014: 2513-2519 - [c37]Jesús Capitán, Matthijs T. J. Spaan, Luis Merino, Aníbal Ollero:
Decentralized Multi-Robot Cooperation with Auctioned POMDPs. ICAPS 2014 - [c36]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 - [c35]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 - [i5]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) - 2013
- [j9]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]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) - [c34]João Vicente Messias, Matthijs T. J. Spaan, Pedro U. Lima:
GSMDPs for Multi-Robot Sequential Decision-Making. AAAI 2013: 1408-1414 - [c33]Joris Scharpff, Matthijs T. J. Spaan, Leentje Volker, Mathijs de Weerdt:
Planning under Uncertainty for Coordinating Infrastructural Maintenance. ICAPS 2013 - [c32]Stefan J. Witwicki, Francisco S. Melo, Jesús Capitán, Matthijs T. J. Spaan:
A Flexible Approach to Modeling Unpredictable Events in MDPs. ICAPS 2013 - [c31]Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan:
Approximate solutions for factored Dec-POMDPs with many agents. AAMAS 2013: 563-570 - [c30]João V. Messias, Matthijs T. J. Spaan, Pedro U. Lima:
Multiagent POMDPs with asynchronous execution. AAMAS 2013: 1273-1274 - [c29]Joris Scharpff, Matthijs T. J. Spaan, Leentje Volker, Mathijs de Weerdt:
Coordinating maintenance planning under uncertainty: (demonstration). AAMAS 2013: 1405-1406 - 2012
- [j7]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) - [c28]Frans Adriaan Oliehoek, Matthijs T. J. Spaan:
Tree-Based Solution Methods for Multiagent POMDPs with Delayed Communication. AAAI 2012: 1415-1421 - [c27]Frans A. Oliehoek, Matthijs T. J. Spaan:
Tree-based pruning for multiagent POMDPs with delayed communication. AAMAS 2012: 1229-1230 - [c26]Jesús Capitán, Matthijs T. J. Spaan, Luis Merino, Aníbal Ollero:
Decentralized multi-robot cooperation with auctioned POMDPs. ICRA 2012: 3323-3328 - [c25]Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan:
Exploiting Structure in Cooperative Bayesian Games. UAI 2012: 654-665 - [p1]Matthijs T. J. Spaan:
Partially Observable Markov Decision Processes. Reinforcement Learning 2012: 387-414 - [i4]Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan:
Exploiting Structure in Cooperative Bayesian Games. CoRR abs/1210.4886 (2012) - 2011
- [c24]Francisco S. Melo, Matthijs T. J. Spaan, Stefan J. Witwicki:
QueryPOMDP: POMDP-Based Communication in Multiagent Systems. EUMAS 2011: 189-204 - [c23]Rajneesh Sharma, Matthijs T. J. Spaan:
Fuzzy reinforcement learning control for decentralized partially observable Markov decision processes. FUZZ-IEEE 2011: 1422-1429 - [c22]Matthijs T. J. Spaan, Frans A. Oliehoek, Christopher Amato:
Scaling Up Optimal Heuristic Search in Dec-POMDPs via Incremental Expansion. IJCAI 2011: 2027-2032 - [c21]João V. Messias, Matthijs T. J. Spaan, Pedro U. Lima:
Efficient Offline Communication Policies for Factored Multiagent POMDPs. NIPS 2011: 1917-1925 - [i3]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]Matthijs T. J. Spaan, Nikos Vlassis:
Perseus: Randomized Point-based Value Iteration for POMDPs. CoRR abs/1109.2145 (2011) - [i1]Frans A. Oliehoek, Matthijs T. J. Spaan, Nikos Vlassis:
Optimal and Approximate Q-value Functions for Decentralized POMDPs. CoRR abs/1111.0062 (2011) - 2010
- [j6]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) - [c20]Frans A. Oliehoek, Matthijs T. J. Spaan, Jilles Steeve Dibangoye, Christopher Amato:
Heuristic search for identical payoff Bayesian games. AAMAS 2010: 1115-1122 - [c19]Rajneesh Sharma, Matthijs T. J. Spaan:
A Bayesian game based adaptive fuzzy controller for multiagent POMDPs. FUZZ-IEEE 2010: 1-7 - [c18]Matthijs T. J. Spaan, Nelson Gonçalves, João Sequeira:
Multirobot coordination by auctioning POMDPs. ICRA 2010: 1446-1451 - [c17]Matthijs T. J. Spaan, Tiago Veiga, Pedro U. Lima:
Active cooperative perception in network robot systems using POMDPs. IROS 2010: 4800-4805 - [c16]Abdolkarim Pahliani, Matthijs T. J. Spaan, Pedro U. Lima:
Fault-tolerant probabilistic sensor fusion for Multi-Agent Systems. IROS 2010: 4812-4817
2000 – 2009
- 2009
- [j5]Frank Ehlers, Fredrik Gustafsson, Matthijs T. J. Spaan:
Signal Processing Advances in Robots and Autonomy. EURASIP J. Adv. Signal Process. 2009 (2009) - [c15]Matthijs T. J. Spaan, Pedro U. Lima:
A Decision-Theoretic Approach to Dynamic Sensor Selection in Camera Networks. ICAPS 2009 - [c14]Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J. Spaan:
Lossless clustering of histories in decentralized POMDPs. AAMAS (1) 2009: 577-584 - [c13]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 - [c12]Abdolkarim Pahliani, Matthijs T. J. Spaan, Pedro U. Lima:
Decision-theoretic robot guidance for active cooperative perception. IROS 2009: 4837-4842 - 2008
- [j4]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) - [c11]Matthijs T. J. Spaan, Frans A. Oliehoek, Nikos Vlassis:
Multiagent Planning Under Uncertainty with Stochastic Communication Delays. ICAPS 2008: 338-345 - [c10]Frans A. Oliehoek, Matthijs T. J. Spaan, Shimon Whiteson, Nikos Vlassis:
Exploiting locality of interaction in factored Dec-POMDPs. AAMAS (1) 2008: 517-524 - [c9]Matthijs T. J. Spaan, Francisco S. Melo:
Interaction-driven Markov games for decentralized multiagent planning under uncertainty. AAMAS (1) 2008: 525-532 - 2006
- [j3]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) - [c8]Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos Vlassis:
Decentralized planning under uncertainty for teams of communicating agents. AAMAS 2006: 249-256 - 2005
- [j2]Matthijs T. J. Spaan, Nikos Vlassis:
Perseus: Randomized Point-based Value Iteration for POMDPs. J. Artif. Intell. Res. 24: 195-220 (2005) - [j1]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) - [c7]Josep M. Porta, Matthijs T. J. Spaan, Nikos Vlassis:
Robot Planning in Partially Observable Continuous Domains. BNAIC 2005: 375-376 - [c6]Matthijs T. J. Spaan, Nikos Vlassis:
Planning with Continuous Actions in Partially Observable Environments. ICRA 2005: 3458-3463 - [c5]Josep M. Porta, Matthijs T. J. Spaan, Nikos Vlassis:
Robot Planning in Partially Observable Continuous Domains. Robotics: Science and Systems 2005: 217-224 - [c4]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
- [c3]Matthijs T. J. Spaan, Nikos Vlassis:
A Point-based POMDP Algorithm for Robot Planning. ICRA 2004: 2399-2404 - 2002
- [c2]Matthijs T. J. Spaan, Frans C. A. Groen:
Team Coordination among Robotic Soccer Players. RoboCup 2002: 409-416 - 2001
- [c1]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
Coauthor Index
Frans A. Oliehoek
aka: Frans Adriaan Oliehoek
aka: Frans Adriaan Oliehoek
Mathijs de Weerdt
aka: Mathijs Michiel de Weerdt
aka: Mathijs Michiel de Weerdt
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-13 23:47 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
