Results 31 to 40 of about 622,755 (276)

Distributionally robust optimization for sequential decision-making [PDF]

Optimization, 2019
The distributionally robust Markov Decision Process (MDP) approach asks for a distributionally robust policy that achieves the maximal expected total reward under the most adversarial distribution of uncertain parameters. In this paper, we study distributionally robust MDPs where ambiguity sets for the uncertain parameters are of a format that can ...
Zhi Chen, Pengqian Yu, William B. Haskell   +2 more
openaire   +2 more sources

Robustness Analysis in Sequential Statistical Decisions

Austrian Journal of Statistics, 2020
The sequential statistical decision making is considered. Performance characteristics (error probabilities and expected sample sizes) for the sequential statistical decision rules (tests) are analysed.
Alexey Kharin
doaj   +1 more source

Scanning and Sequential Decision Making for Multidimensional Data -- Part II: The Noisy Case [PDF]

, 2008
We consider the problem of sequential decision making for random fields corrupted by noise. In this scenario, the decision maker observes a noisy version of the data, yet judged with respect to the clean data. In particular, we first consider the problem
Cohen, Asaf, Merhav, Neri, Weissman, Tsachy   +2 more
core   +1 more source

The editorial on the special issue `Are sequential sampling models the future gold standard of cognitive psychology?' [PDF]

Tutorials in Quantitative Methods for Psychology, 2020
This editorial introduces the special issue dedicated to sampling models.
Yang, Cheng-Ta, Cousineau, Denis, Pfister, Roland   +2 more
doaj   +1 more source

Buying Online: Sequential Decision Making by Shopbot Visitors [PDF]

In this article we propose a two stage procedure to model demand decisions by customers who are balancing several dimensions of a product. We then test our procedure by analyzing the behavior of buyers from an Austrian price comparison site.
Dulleck, Uwe, Hackl, Franz, Weiss, Bernhard, Winter-Ebmer, Rudolf   +3 more
core   +6 more sources

Knowledge Gradient: Capturing Value of Information in Iterative Decisions under Uncertainty

Mathematics, 2022
Many real-life problems that involve decisions under uncertainty are often sequentially repeated and can be approached iteratively. Knowledge Gradient (KG) formulates the decision-under-uncertainty problem into repeatedly estimating the value of ...
Donghun Lee
doaj   +1 more source

Beliefs and expertise in sequential decision making [PDF]

, 2018
This work explores a sequential decision making problem with agents having diverse expertise and mismatched beliefs. We consider an N-agent sequential binary hypothesis test in which each agent sequentially makes a decision based not only on a private ...
Goyal, Vivek, Raman, Ravi Kiran, Rhim, Joong Bum, Seo, Daewon, Varshney, Lav Raj   +4 more
core  

Multi-shot Pedestrian Re-identification via Sequential Decision Making

, 2018
Multi-shot pedestrian re-identification problem is at the core of surveillance video analysis. It matches two tracks of pedestrians from different cameras.
Wang, Naiyan, Zhang, Jianfu, Zhang, Liqing   +2 more
core   +1 more source

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski, Michael C. Frühwald, Gudrun Fleischhack, Stephan Tippelt, Pablo Hernáiz‐Driever, Olaf Witt, Astrid Gnekow, Christof Kramm, Matthias Eyrich, Johannes E. A. Wolf, Hermann Müller, Carsten Friedrich, Uwe R. Kordes, Denise Obrecht‐Sturm, Petra Ketteler, Barbara von Zezschwitz, Pascal Johann, Dominik Sturm, Karoline Nemes, Stefan Schönberger, Till Milde, Brigitte Bison, Monika Warmuth‐Metz, Torsten Pietsch, Ulrich Schüller, Arend Koch, David Capper, Martin Hasselblatt, Christian Thomas, Christian Hagel, Stefan M. Pfister, Felix Sahm, David T. W. Jones, Martin U. Schuhmann, Jürgen Krauss, Pedram Emami, Ahmed El Damaty, Rolf D. Kortmann, Rudolf Schwarz, Jürgen Debus, Mechthild Krause, Fabian Pohl, Holger Ottensmeier, Lisa Bußenius, Katja Baust, Andreas Faldum, Cecile Ronckers, Desiree Grabow, Martin Benesch, Thomas Perwein, Karin Dieckmann, Irene Slavc, Johannes Gojo, Nicolas U. Gerber, André O. von Bueren, Katrin Scheinemann, Gabriele Calaminus, Beate Timmermann, Ulrich‐Wilhelm Thomale, Martin Mynarek   +59 more
wiley   +1 more source

Robust sequential decision-making in adversarial environments

Systems Science & Control Engineering
Reinforcement learning (RL) agents often fail in adversarial environments where the Markov Decision Process (MDP) assumption of a stationary environment is violated.
Jurij Ružejnikov, Tatiana Valentine Guy
doaj   +1 more source