Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning

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

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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.

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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).

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Particle Size Estimation in Mixed Commercial Waste Images Using Deep Learning

Kittiworapanya, P., Pasupa, K. & Auer, P., 29 Juni 2021, IAIT 2021 - 12th International Conference on Advances in Information Technology: Intelligence and Innovation for Digital Business and Society. Association for Computing Machinery (ACM), 3471273. (ACM International Conference Proceeding Series).

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Building Models on Global Supply Chains

Krenn, B., Engelhardt-Nowitzki, C., Savu-Krohn, C. & Zsifkovits, H., 2007, Building Models on Global Supply Chains. University of Iceland, S. 1-17

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