Research output

  1. 2015
  2. Published

    Robust policy updates for stochastic optimal control

    Rueckert, E., Mindt, M., Peters, J. & Neumann, G., 12 Feb 2015, p. 388-393. 6 p.

    Research output: Contribution to conferencePaperpeer-review

  3. Published

    Application of Artificial Neural Networks in Geoscience and Petroleum Industry

    Ashena, R. & Thonhauser, G., 2015, Artificial Intelligent Approaches in Petroleum Geosciences. NY: Springer, p. 127 166 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterEducationpeer-review

  4. Published

    Dynamic Drill-rate Test Approach Appplied to a Pre-salt Case Study

    Roohi, A., Nascimento, A., Elmgerbi, A., Prohaska-Marchried, M., Thonhauser, G. & Hugo Mathias, M., 2015. 10 p.

    Research output: Contribution to conferencePaper

  5. Published

    Forcing Subarrangements in Complete Arrangements of Pseudocircles

    Ortner, R., 2015, In: Journal of Computational Geometry. 6, 1, p. 235-248

    Research output: Contribution to journalArticleResearchpeer-review

  6. Published

    Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning

    Kailasam, L., Ortner, R. & Ryabko, D., 2015, Proceedings of The 32nd International Conference on Machine Learning.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. 2014
  8. Published
  9. Published

    Distributed recognition system for drilling events detection and classification

    Arnaout, A., O'Leary, P., Esmael, B. & Thonhauser, G., 2014, In: International Journal of Hybrid Intelligent Systems. 11, p. 25-39

    Research output: Contribution to journalArticleResearchpeer-review

  10. Published

    Modeling Transportation Logistics, Water Use, and Surface Footprint for Shale Gas Field Developments

    Mitschanek, M., Thonhauser, G. & Prohaska-Marchried, M., 2014, SPE/EAGE European Unconventional Resources Conference and Exhibition. p. 219-226

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  11. Published

    Regret Bounds for Restless Markov Bandits

    Ortner, R., Ryabko, D., Auer, P. & Munos, R., 2014, In: Theoretical Computer Science. 558, p. 62-76

    Research output: Contribution to journalArticleResearchpeer-review

  12. Published

    Selecting Near-Optimal Approximate State Representations in Reinforcement Learning

    Ortner, R., Maillard, O-A. & Ryabko, D., 2014, Algorithmic Learning Theory - 25th International Conference, ALT 2014, Bled, October 8-10, 2014. p. 140-154

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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