Peter Auer
Research output
- Published
Guest editors' introduction: Special issue on learning theory
Auer, P. & Long, P. M., 1 Dec 2008, In: Journal of Computer and System Sciences. 74, 8, 1 p.Research output: Contribution to journal › Editorial › peer-review
- Published
A new heuristic and an exact approach for a production planning problem
Auer, P., Dósa, G., Dulai, T., Fügenschuh, A., Näser, P., Ortner, R. & Werner-Starkne, A., Sept 2021, In: Central European Journal of Operations Research. 29, 3, p. 1079-1113 35 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes
Auer, P., Gajane, P. & Ortner, R., 2019, Proceedings of the 32nd Conference on Learning Theory, COLT 2019. p. 138-158Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Grid Load Mitigation in EV Fast Charging Stations Through Integration of a High-Performance Flywheel Energy Storage System with CFRP Rotor
Buchroithner, A., Presmair, R., Haidl, P., Wegleiter, H., Thormann, B., Kienberger, T., Auer, P. & Domitner, J., 2021, 2021 IEEE Green Energy and Smart Systems Conference, IGESSC 2021. Institute of Electrical and Electronics Engineers, (2021 IEEE Green Energy and Smart Systems Conference, IGESSC 2021).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Upper-confidence-bound algorithms for active learning in multi-armed bandits
Carpentier, A., Lazaric, A., Ghavamzadeh, M., Munos, R. & Auer, P., 20 Oct 2011, Algorithmic Learning Theory - 22nd International Conference, ALT 2011, Proceedings. p. 189-203 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6925 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Learning to Drive with Deep Reinforcement Learning
Chukamphaeng, N., Pasupa, K., Antenreiter, M. & Auer, P., 21 Jan 2021, KST 2021 - 2021 13th International Conference Knowledge and Smart Technology. Institute of Electrical and Electronics Engineers, p. 147-152 6 p. 9415770. (KST 2021 - 2021 13th International Conference Knowledge and Smart Technology).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Online learning with randomized feedback graphs for optimal PUE attacks in cognitive radio networks
Dabaghchian, M., Alipour-Fanid, A., Zeng, K., Wang, Q. & Auer, P., 1 Oct 2018, In: IEEE ACM transactions on networking. 26, 5, p. 2268-2281 14 p., 8466108.Research output: Contribution to journal › Article › Research › peer-review
- Published
Object recognition using segmentation for feature detection
Fussenegger, M., Opelt, A., Pinz, A. & Auer, P., 2004, 17th International Conference on Pattern Recognition (ICPR 2004). p. 41-44Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Object recognition using segmentation for feature detection
Fussenegger, M., Opelt, A., Pinz, A. & Auer, P., 2004, Digital Imaging in Media and Education, Proc. of the 28th OEAGM/AAPR Conference; OCG 2004 (179 Schriftenreihe). p. 103-110Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
A Sliding-Window Approach for Reinforcement Learning in MDPs with Arbitrarily Changing Rewards and Transitions.
Gajane, P., Ortner, R. & Auer, P., 2018.Research output: Contribution to conference › Paper › peer-review
