Sequential decision making
Possibilistic sequential decision making
... possibilistic decision theory is often a natural one to ...possibilistic decision theory has lead to the proposition a series of possibilistic criteria, namely: optimistic and pessimistic possibilistic ...
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Sequential decision-making approach for quadrangular mesh generation
... the sequential decision-making approach, especially in view of its future applicability to 3D problems as well as of its natural handling of additional topological and geometrical ...
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Sequential decision making under ordinal uncertainty: a qualitative alternative to the Hurwicz criterion
... Drowning them in the context of sequential decision making, we show that R ∗ and R ∗ are compatible with Dynamic Consistency and Consequentialism, and propose to apply an algorithm of dy[r] ...
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What to Choose Next? A Paradigm for Testing Human Sequential Decision Making
... are sequential and entail sparse rewards. While sequential decision-making has been extensively investigated in theory ...previous decision steps), the external reward, and the ability ...
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Sequential Decision Making Under Uncertainty: Ordinal Uninorms vs. the Hurwicz Criterion
... of sequential decision ...(qualitative) decision trees [14], that allow the expression of some knowledge about the more or less possible consequences of the ...
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Sequential Decision Making Under Uncertainty: Ordinal Uninorms vs. the Hurwicz Criterion
... of sequential decision ...(qualitative) decision trees [14], that allow the expression of some knowledge about the more or less possible consequences of the ...
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Sequential Decision-Making under Non-stationary Environments via Sequential Change-point Detection
... 1 Introduction Reinforcement learning (RL) [15] is a powerful framework for sequential decision- making. It can be seen as an extension of the Markov Decision Process (MDP) model [13] when the ...
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Possibilistic sequential decision making
... of decision making under ...to sequential decision making under uncertainty, where a suitable strategy is to be found, that associates a decision to each state of the ...for ...
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Lexicographic refinements in possibilistic sequential decision-making models
... The decision rule of [Giang and Shenoy, 2001] can capture the lexicographic use of the optimistic and pessimistic utilities when the pessimistic one cannot discriminate and vice-versa [Godo and Zapico, ...
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Compact parametric models for efficient sequential decision making in high-dimensional, uncertain domains
... We have already discussed that we will choose to represent our world models such that the number of parameters to represent the dynamics and observation model is a polynomia[r] ...
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Reinforcement learning: a generic tool for solving sequential decision-making problems for electrical systems
... First control law for stabilizing power systems every computed using reinforcement learning. More at: “Reinforcement Learning Versus Model Predictive Control: A Comparison on a Power Sy[r] ...
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Sequential decision making under uncertainty in randomly generated games : A Minecraft intelligent agent for resource gathering
... the decision engine often begins by trying to collect iron, stone or even dirt because the score attributed to all the gathering action is similar and too sensitive to ...
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Supervised learning based sequential decision making
... Learning a sequential decision policy (Case 2, Naive aproach) Problem: How to generalize this if the decisions shown in the sample are random (i.e. not necessarily the optimal ones)? Brute force approach: ...
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On the Locality of Action Domination in Sequential Decision Making
... Namely, we link the Lipschitz continuity of a Markov Decision Process to the Lispchitz continuity of its policies’ value functions and introduce the key concept of influence radius to de[r] ...
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On importance indices in multicriteria decision making
... For other sophisticated models or not necessarily of the aggregation type, like the GAI (Gen- eralized Additive Independence) model of (Fishburn, 1967), we are not aware of any general definition of an importance index. ...
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Decision Making with Imprecise Probabilistic Information
... the decision maker’s revealed set of priors reduces to a ...the decision maker evaluates an act in a given situation by taking the expected utility of that act with respect to the ...a decision maker ...
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Decision-Making with Belief Interval Distance
... proper decision, in the sense that A ∪ B is the whole universe of discourse, hence we are merely selecting anything (and discarding ...proper decision may however be very helpful in some fusion systems ...
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Decision Making and Trade without Probabilities
... In everyday life, decision settings arise where information is fundamentally new. When a firm begins new research, its managers and even its researchers do not necessarily know what products (if any) they will ...
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On importance indices in multicriteria decision making
... Keywords: Multiple criteria analysis, Multichoice game, Shapley value, Choquet integral. 1 Introduction The notion of importance of attributes or criteria in multicriteria decision aiding (MCDA) has always been ...
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Preference Handling in Decision-Making Problems
... Given that the aim of the elicitation unit is to interpret user preferences as comparative preference statements with associated semantics, why then was it necessary to elicit this bias [r] ...
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