Peter Auer
Research output
- 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
Learning with Malicious Noise
Auer, P., 2008, Encyclopedia of Algorithms. p. 1-99Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research
- Published
Learning with Malicious Noise
Auer, P., 22 Apr 2016, Encyclopedia of Algorithms. Springer, p. 1086-1089Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary › Research
- Published
Limit Laws for the Maximal and Minimal Increments of the Poisson Process
Auer, P. & Hornik, K., 1996, In: Studia Scientiarum Mathematicarum Hungarica. 31, p. 1-13Research output: Contribution to journal › Article › Research › peer-review
- Published
Logarithmic online regret bounds for undiscounted reinforcement learning
Auer, P. & Ortner, R., 2006.Research output: Contribution to conference › Poster › Research › peer-review
- Published
Logarithmic online regret bounds for undiscounted reinforcement learning
Auer, P. & Ortner, R., 2007, Advances in Neural Information Processing Systems 19. MIT Press, p. 49-56Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Machine learning assisted calibration of PVT simulations for SiC crystal growth
Taucher, L., Ramadan, Z., Hammer, R., Obermüller, T., Auer, P. & Romaner, L., 10 Oct 2024, In: CrystEngComm. 44.2024, 26, p. 6322-6335 14 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Models for Autonomously Motivated Exploration in Reinforcement Learning
Auer, P., Lim, S. H. & Watkins, C., 2011, The Fourteenth International Conference on Discovery Science (DS 2011). p. 29-29Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Multi-Armed Bandits in IEEE 802.11ac: Efficient Algorithms and Testbed Experiments
Le, M., Bile, P., Pawar, S. P., Auer, P., Thapa, P. D., Hühn, T. & Jorswieck, E. A., 2024, 2024 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Near-optimal Regret Bounds for Reinforcement Learning
Jaksch, T., Ortner, R. & Auer, P., 2010, In: Journal of machine learning research (JMLR). 11, p. 1563-1600Research output: Contribution to journal › Article › Research › peer-review
