Results 31 to 40 of about 124,684 (248)
Sequential decision making with vector outcomes [PDF]
Proceedings of the 5th conference on Innovations in theoretical computer science, 2014 We study a multi-round optimization setting in which in each round a player may select one of several actions, and each action produces an outcome vector, not observable to the player until the round ends. The final payoff for the player is computed by applying some known function f to the sum of all outcome vectors (e.g., the minimum of all ...
Yossi Azar +3 more
openaire +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 +2 more
doaj +1 more source
Sequential Assessment and Decision-Making in Humans
Behaviour, 1995 Abstract In two experiments inspired by theories of sequential information-gathering tasks such as sequential mate assessment, human subjects were asked to view sequences of pictures of mythical birds, each of which varied in value according to one of three stimuli, namely tail length, band width or intensity of black and carried an ...
Sullivan, M +3 more
openaire +2 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
Data Generation as Sequential Decision Making
CoRR, 2015 We connect a broad class of generative models through their shared reliance on sequential decision making. Motivated by this view, we develop extensions to an existing model, and then explore the idea further in the context of data imputation -- perhaps the simplest setting in which to investigate the relation between unconditional and conditional ...
Philip Bachman, Doina Precup
openaire +3 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
PLoS ONE, 2022 Every day, we make many value-based decisions where we weigh the value of options with other properties, e.g. their time of delivery. In the laboratory, such value-based decision-making is usually studied on a trial by trial basis and each decision is ...
Stefan Scherbaum +4 more
doaj +2 more sources
Value-based decision making via sequential sampling with hierarchical competition and attentional modulation. [PDF]
PLoS ONE, 2017 In principle, formal dynamical models of decision making hold the potential to represent fundamental computations underpinning value-based (i.e., preferential) decisions in addition to perceptual decisions.
Jaron T Colas
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Robust sequential decision-making in adversarial environments
Systems Science & Control EngineeringReinforcement 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