Frans A. Oliehoek, Matthijs T. J. Spaan, Bas Terwijn, Philipp Robbel, João V. Messias (2017), The MADP Toolbox: An Open Source Library for Planning and Learning in (Multi-)Agent Systems, In Journal of Machine Learning Research Volume 18 p.1-5.

Frits de Nijs, Matthijs T. J. Spaan, M.M. de Weerdt (2016), Decoupling a Resource Constraint through Fictitious Play in Multi-agent Sequential Decision Making, In Proceedings - 22nd European Conference on Artificial Intelligence, ECAI 2016 Volume 285 p.1724-1725, IOS Press.

Erwin Walraven, Matthijs T. J. Spaan (2016), Planning Under Uncertainty for Aggregated Electric Vehicle Charging with Renewable Energy Supply, Gal A. Kaminka, Maria Fox, Paolo Bouquet, Eyke Hüllermeier, Virginia Dignum, Frank Dignum, Frank van Harmelen (Eds.), In ECAI 2016 - 22nd European Conference on Artificial Intelligence p.904-912, IOS Press.

Erwin Walraven, Matthijs T. J. Spaan (2016), Planning under Uncertainty for Aggregated Electric Vehicle Charging using Markov Decision Processes, In AAAI 2016 International Workshop on Artificial Intelligence for Smart Grids and Smart Buildings p.1-7, American Association for Artificial Intelligence (AAAI).

Joris Scharpff, Diederik M. Roijers, Frans A. Oliehoek, Matthijs T. J. Spaan, M.M. de Weerdt (2016), Solving Transition-Independent Multi-agent MDPs with Sparse Interactions, In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence AAAI-16 p.3174-3180, American Association for Artificial Intelligence (AAAI).

Nisar Ahmed, Paul Bello, Selmer Bringsjord, Micah Clark, Bradley Hayes, Andrey Kolobov, Christopher Miller, Frans Oliehoek, Frank Stein, Matthijs Spaan (2016), The 2015 AAAI Fall Symposium Series Reports, In AI Magazine Volume 37 p.85-90.

Erwin Walraven, Matthijs T. J. Spaan, Bram Bakker (2016), Traffic flow optimization: A reinforcement learning approach, In Engineering Applications of Artificial Intelligence Volume 52 p.203-212.

Erwin Walraven, Matthijs T. J. Spaan (2015), A Scenario State Representation for Scheduling Deferrable Loads under Wind Uncertainty, In The 10th Annual Workshop on Multiagent Sequential Decision-Making Under Uncertainty (MDSM 2015).

Frits De Nijs, Matthijs T J Spaan, Mathys M. De Weerdt (2015), Best-response planning of thermostatically controlled loads under power constraints, In Proceedings of the National Conference on Artificial Intelligence Volume 1 p.615-621, American Association for Artificial Intelligence (AAAI).

Matthijs T.J. Spaan, Tiago S. Veiga, Pedro U. Lima (2015), Decision-theoretic planning under uncertainty with information rewards for active cooperative perception, In Autonomous Agents and Multi-Agent Systems Volume 29 p.1157-1185.