Chair of Information Technology (150)
Organisational unit: Chair
Research output
- 2023
- Published
FunQG: Molecular Representation Learning Via Quotient Graphs
Hajiabolhassan, H., Taheri, Z., Hojatnia, A. & Taheri Yeganeh, Y., 15 May 2023, In: Journal of chemical information and modeling. 63.2023, 11, p. 3275-3287 13 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction
Keshavarz, S., Vita, P., Rückert, E., Ortner, R. & Thonhauser, G., 19 Jan 2023, SPE AI Symposium 2023: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry. (Society of Petroleum Engineers - SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, AIS 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Detecting Anomalous Multivariate Time-Series via Hybrid Machine Learning
Terbuch, A., O'Leary, P., Khalilimotlaghkasmaei, N., Auer, P., Zöhrer, A. & Winter, V., 12 Jan 2023, In: IEEE transactions on instrumentation and measurement. 72.2023, 13 p., 2503711.Research output: Contribution to journal › Article › Research › peer-review
- Published
Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms
Gajane, P., Auer, P. & Ortner, R., 2023, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23). p. 3714-3722Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Grundlagen- und Ansatzerhebung für eine gemeinsame Emulationsumgebung zur übergreifenden Anwendung auf der Materialfluss- und Steuerungsebene
Schalk, R., 2023Research output: Thesis › Master's Thesis
- Published
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions
Jin, T., Liu, J., Rouyer, C., Chang, W., Wei, C.-Y. & Luo, H., 2023, 37th Conference on Neural Information Processing Systems (NeurIPS 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Accepted/In press
Online Regret Bounds for Satisficing in MDPs
Hajiabolhassan, H. & Ortner, R., 2023, (Accepted/In press).Research output: Contribution to conference › Poster › Research › peer-review
- Published
When is Cartesian product a Cayley graph?
Dobson, E., Hujdurovic, A., Imrich, W. & Ortner, R., 2023, Proceedings of the 12th European Conference on Combinatorics, Graph Theory and Applications. p. 362-367Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2022
- Published
Decision Making Under Uncertainty and Reinforcement Learning
Dimitrakakis, C. & Ortner, R., Dec 2022, Springer. (Intelligent Systems Reference Library; vol. 223)Research output: Book/Report › Book › Education
- Published
Quantification of Transfer in Reinforcement Learning via Regret Bounds for Learning Agents
Tuynman, A. & Ortner, R., Sept 2022.Research output: Contribution to conference › Poster › Research › peer-review
