Search results
Results: 39
Number of items: 39
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Satsangi, Y., Whiteson, S., Oliehoek, F., & Spaan, M. T. J. (2018). Exploiting Submodular Value Functions for Scaling Up Active Perception. Autonomous Robots, 42(2), 209–233. https://doi.org/10.1007/s10514-017-9666-5 -
Ahmed, N., Bello, P., Bringsjord, S., Clark, M., Hayes, B., Kolobov, A., Miller, C., Oliehoek, F., Stein, F., & Spaan, M. (2016). The 2015 AAAI Fall Symposium Series Reports. The AI Magazine, 37(2), 85-90. https://doi.org/10.1609/aimag.v37i2.2661
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Scharpff, J., Roijers, D. M., Oliehoek, F. A., Spaan, M. T. J., & de Weerdt, M. M. (2016). Solving Transition-Independent Multi-agent MDPs with Sparse Interactions. In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence and the Twenty-Eighth Innovative Applications of Artificial Intelligence Conference: 12-17 February 2016, Phoenix, Arizona, USA (Vol. 4, pp. 3174-3180). AAAI Press. https://ojs.aaai.org/index.php/AAAI/article/view/10405 -
Scharpff, J., Roijers, D. M., Oliehoek, F. A., Spaan, M. T. J., & de Weerdt, M. (2016). Conditional Return Policy Search for TI-MMDPs with Sparse Interactions. In T. Bosse, & B. Bredeweg (Eds.), BNAIC 2016 : Benelux Conference on Artificial Intelligence: proceedings of the Twenty-Eight Benelux Conference on Artificial Intelligence : Amsterdam, November 10-11, 2016 (pp. 216-217). (BNAIC; Vol. 28). Vrije Universiteit, Department of Computer Sciences. http://bnaic2016.cs.vu.nl/index.php/proceedings -
Scharpff, J., Roijers, D. M., Oliehoek, F. A., Spaan, M. T. J., & de Weerdt, M. M. (2015). Solving Multi-agent MDPs Optimally with Conditional Return Graphs. In AAMAS Workshop on Multiagent Sequential Decision Making Under Uncertainty, MSDM 2015: May 5, 2015 in Istanbul, Turkey : accepted papers MASplan.org. https://www.researchgate.net/publication/275039736_Solving_Multi-agent_MDPs_Optimally_with_Conditional_Return_Graphs -
Oliehoek, F. A., Spaan, M. T. J., & Witwicki, S. J. (2015). Factored Upper Bounds for Multiagent Planning Problems under Uncertainty with Non-Factored Value Functions. In Q. Yang, & M. Wooldridge (Eds.), Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence: Buenos Aires, Argentina, 25-31 July 2015 (pp. 1645-1651). AAAI Press. https://www.ijcai.org/Abstract/15/235 -
Roijers, D. M., Scharpff, J., Spaan, M. T. J., Oliehoek, F. A., de Weerdt, M., & Whiteson, S. (2014). Bounded Approximations for Linear Multi-Objective Planning under Uncertainty. In S. Chien, M. Do, A. Fern, & W. Ruml (Eds.), ICAPS 2014: Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling (pp. 262-270). AAAI Press. http://www.aaai.org/ocs/index.php/ICAPS/ICAPS14/paper/view/7929/8035
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Roijers, D. M., Scharpff, J., Spaan, M. T. J., Oliehoek, F. A., De Weerdt, M. M., & Whiteson, S. (2014). Bounded Approximations for Linear Multi-Objective Planning under Uncertainty. BNAIC, 26, 168-169. http://www.cs.kuleuven.be/~joost/DN/bnaic-proceedings/bnaic2014.pdf -
Oliehoek, F. A., Whiteson, S., & Spaan, M. T. J. (2013). Approximate Solutions for Factored Dec-POMDPs with Many Agents. In AAMAS'13: proceedings of the 2013 International Conference on Autonomous Agents & Multiagent Systems : May 6-10, 2013, St. Paul, MN, USA (Vol. 1, pp. 563-570). International Foundation for Autonomous Agents and Multiagent Systems. http://www.ifaamas.org/Proceedings/aamas2013/docs/p563.pdf
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