1. 2018
  2. Bootstrapping LPs in Value Iteration for Multi-Objective and Partially Observable MDPs

    Roijers, D., Walraven, E. & Spaan, M., 2018, Proceedings of the 28th International Conference on Automated Planning and Scheduling . Association for the Advancement of Artificial Intelligence (AAAI), p. 218-226

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  3. Column Generation Algorithms for Constrained POMDPs

    Walraven, E. & Spaan, M., 2018, In : The Journal of Artificial Intelligence Research. 62, p. 489-533

    Research output: Contribution to journalArticleScientificpeer-review

  4. 2017
  5. Accelerated Vector Pruning for Optimal POMDP Solvers

    Walraven, E. & Spaan, M., 2017, Proceedings of the 31st Conference on Artificial Intelligence, AAAI 2017. American Association for Artificial Intelligence (AAAI), p. 3672-3678 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  6. Bounding the probability of resource constraint violations in multi-agent MDPs

    De Nijs, F., Walraven, E., De Weerdt, M. M. & Spaan, M. T. J., 2017, Proceedings of the 31st Conference on Artificial Intelligence, AAAI 2017. American Association for Artificial Intelligence (AAAI), p. 3562-3568 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  7. 2016
  8. Planning Under Uncertainty for Aggregated Electric Vehicle Charging with Renewable Energy Supply

    Walraven, E. & Spaan, M. T. J., 26 Aug 2016, ECAI 2016 - 22nd European Conference on Artificial Intelligence. Kaminka, G. A., Fox, M., Bouquet, P., Hüllermeier, E., Dignum, V., Dignum, F. & van Harmelen, F. (eds.). IOS Press, p. 904-912 9 p. (Frontiers in Artificial Intelligence and Applications; vol. 285).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  9. Planning under Uncertainty for Aggregated Electric Vehicle Charging using Markov Decision Processes

    Walraven, E. & Spaan, M. T. J., 12 Feb 2016, AAAI 2016 International Workshop on Artificial Intelligence for Smart Grids and Smart Buildings. American Association for Artificial Intelligence (AAAI), p. 1-7 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  10. Traffic flow optimization: A reinforcement learning approach

    Walraven, E., Spaan, M. T. J. & Bakker, B., 2016, In : Engineering Applications of Artificial Intelligence. 52, p. 203-212 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  11. 2015
  12. Planning under Uncertainty with Weighted State Scenarios

    Walraven, E. & Spaan, M. T. J., 13 Jul 2015, Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence. p. 912-921 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  13. A Scenario State Representation for Scheduling Deferrable Loads under Wind Uncertainty

    Walraven, E. & Spaan, M. T. J., May 2015, The 10th Annual Workshop on Multiagent Sequential Decision-Making Under Uncertainty (MDSM 2015).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  14. Planning under Uncertainty with Weighted State Scenarios

    Walraven, E. & Spaan, M. T. J., 2015, AAAI 2015 Fall Symposium on Sequential Decision Making for Intelligent Agents. American Association for Artificial Intelligence (AAAI), p. 93-94 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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