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Disambiguation of "Tschiatschek, Sebastian"

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Sequential Generative Exploration Model for Partially Observable Reinforcement Learning.

, , , and . AAAI, page 10700-10708. AAAI Press, (2021)

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Helmut Tschiatschek

Sebastian Baum

Optimierung der Pharmakotherapie von geriatrischen Patienten im stationären Bereich durch pharmazeutische Betreuung. Uni Münster, (2009)

Sebastian Birk

Intercalibration of national methods to assess the ecological quality of rivers in Europe using benthic invertebrates and aquatic flora. Uni Duisburg-Essen, (2009)

Sebastian Stange

Market liquidity risk. TU München, (2009)

Sebastian Reick

Internal and external dynamics of a strongly-coupled atom-cavity system. Uni Bonn, (2009)
 

Other publications of authors with the same name

Learning User Preferences to Incentivize Exploration in the Sharing Economy., , , and . AAAI, page 2248-2256. AAAI Press, (2018)Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model., , , , , and . NeurIPS, page 14791-14802. (2019)Information Directed Reward Learning for Reinforcement Learning., , , , and . NeurIPS, page 3850-3862. (2021)Evaluating Rule-based Programming and ReinforcementLearning for Personalising an Intelligent System., , , and . IUI Workshops, volume 2327 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes., , , and . AIED (1), volume 13355 of Lecture Notes in Computer Science, page 28-40. Springer, (2022)HM-VAEs: a Deep Generative Model for Real-valued Data with Heterogeneous Marginals., , , , , and . AABI, volume 118 of Proceedings of Machine Learning Research, page 1-8. PMLR, (2019)Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming, , and . Proceedings of the 17th International Conference on Educational Data Mining, page 341--348. Atlanta, Georgia, USA, International Educational Data Mining Society, (July 2024)Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making., , , and . CoRR, (2023)Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning., and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 1962-1969. IOS Press, (2023)On Theoretical Properties of Sum-Product Networks., , , and . AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)