Peter Auer
Research output
- 2018
- 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
- 2017
- Published
Online Learning
Auer, P., 2017, Encyclopedia of Machine Learning and Data Mining.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research
- 2016
- Published
Algorithmic Learning Theory
Auer, P., Clark, A. & Zeugmann, T., 18 Oct 2016, In: Theoretical Computer Science. 650, p. 1-3Research output: Contribution to journal › Special issue › Research › peer-review
- Published
Guest editors' foreword
Auer, P., Clark, A. & Zeugmann, T., 18 Oct 2016, In: Theoretical Computer Science. 650.2016, 18 October, p. 1-3 3 p.Research output: Contribution to journal › Letter › peer-review
- Published
An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits
Auer, P. & Chiang, C.-K., 23 Jun 2016, Proceedings of the 29th Conference on Learning Theory, COLT 2016. p. 116-120 (JMLR Workshop and Conference Proceedings; vol. 49).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
Pareto Front Identification from Stochastic Bandit Feedback
Auer, P., Chiang, C.-K., Ortner, R. & Drugan, M., 2016, Proceedings of the Nineteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2016. p. 939-947 (JMLR Workshop and Conference Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2014
- Published
Algorithmic Learning Theory: 25th International Conference, ALT 2014 Bled, Slovenia, October 8-10, 2014 Proceedings
Auer, P. (Co-editor), Clark, A. (Co-editor), Zeugmann, T. (Co-editor) & Zilles, S. (Co-editor), 1 Jan 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Berlin, Vol. 8776. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8776).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Editors’ introduction
Auer, P., Clark, A., Zeugmann, T. & Zilles, S., 1 Jan 2014, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8776, p. 1-7 7 p.Research output: Contribution to journal › Editorial › peer-review
- Published
Regret Bounds for Restless Markov Bandits
Ortner, R., Ryabko, D., Auer, P. & Munos, R., 2014, In: Theoretical Computer Science. 558, p. 62-76Research output: Contribution to journal › Article › Research › peer-review
- 2013
- Published
Reinforcement Learning (Dagstuhl Seminar 13321)
Auer, P., 2013, In: Dagstuhl Reports. 3, p. 1-26Research output: Contribution to journal › Article › Research › peer-review
- 2012
- Published
Autonomous Exploration For Navigating In MDPs.
Lim, S. H. & Auer, P., 2012, Proceedings of the 25th Annual Conference on Learning Theory. p. 40.1-40.24Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments
Seldin, Y., Szepesvári, C., Auer, P. & Abbasi-Yadkori, Y., 2012, Proceedings of the Tenth European Workshop on Reinforcement Learning, EWRL 2012. p. 103-116 (JMLR proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits.
Seldin, Y., Cesa-Bianchi, N., Auer, P., Laviolette, F. & Shawe-Taylor, J., 2012, Proceedings of the Workshop on On-line Trading of Exploration and Exploitation 2. p. 98-111Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
PAC-Bayesian Analysis of Contextual Bandits
Seldin, Y., Auer, P., Laviolette, F., Shawe-Taylor, J. S. & Ortner, R., 2012, Advances in Neural Information Processing Systems 24. MIT Press, p. 1683-1691Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
PAC-Bayesian Inequalities for Martingales
Seldin, Y., Cesa-Bianchi, N., Shawe-Taylor, J. & Auer, P., 2012, Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2012.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
PAC-Bayesian Inequalities for Martingales.
Seldin, Y., Laviolette, F., Cesa-Bianchi, N., Shawe-Taylor, J. & Auer, P., 2012, In: IEEE transactions on information theory. 58, p. 7086-7093Research output: Contribution to journal › Article › Research › peer-review
- Published
PAC Subset Selection in Stochastic Multi-armed Bandits
Kalyanakrishnan, S., Tewari, A., Auer, P. & Stone, P., 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Regret Bounds for Restless Markov Bandits
Ortner, R., Ryabko, D., Auer, P. & Munos, R., 2012, Algorithmic Learning Theory 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012. Proceedings. p. 214-228Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2011
- 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
