Results 71 to 80 of about 14,430 (280)
Advanced Intelligent Systems, EarlyView.This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Physical and cognitive effort discounting across different reward magnitudes: Tests of discounting models. [PDF]
PLoS ONE, 2017 The effort required to obtain a rewarding outcome is an important factor in decision-making. Describing the reward devaluation by increasing effort intensity is substantial to understanding human preferences, because every action and choice that we make ...
Wojciech Białaszek +2 more
doaj +1 more source
Some Common Confusions About Hyperbolic Discounting [PDF]
SSRN Electronic Journal, 2008 There is a lot of confusion over what "hyperbolic discounting" means. I try to clear up that confusion.
openaire +1 more source
Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models
Applied Stochastic Models in Business and Industry, EarlyView.ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco +4 more
wiley +1 more source
Biofuels, Bioproducts and Biorefining, EarlyView.Abstract Iraq currently faces a significant electricity deficit estimated at approximately 18 000 MW, resulting in frequent and sometimes prolonged power outages that disrupt both economic activities and social life. The widening gap between energy supply and demand, combined with environmental concerns associated with fossil fuel consumption ...
Safaa Malik Abbas +3 more
wiley +1 more source
Life Insurance and Annuity Demand under Hyperbolic Discounting
Risks, 2018 In this paper, we analyse and construct a lifetime utility maximisation model with hyperbolic discounting. Within the model, a number of assumptions are made: complete markets, actuarially fair life insurance/annuity is available, and investors have time-
Siqi Tang, Sachi Purcal, Jinhui Zhang
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Rational hyperbolic discounting
, 2019 How much should you receive in a week to be indifferent to \$ 100 in six months? Note that the indifference requires a rule to ensure the similarity between early and late payments. Assuming that rational individuals have low accuracy, then the following rule is valid: if the amounts to be paid are much less than the personal wealth, then the $q ...
openaire +2 more sources
British Journal of Clinical Pharmacology, EarlyView.Introduction In recent years, the treatment of spinal muscular atrophy (SMA), a rare disease, has significantly progressed, improving patients' survival and overall quality of life. However, current SMA treatments are expensive, and some (nusinersen) are very inconvenient for patients.
Andrej Belančić +4 more
wiley +1 more source
Early evolutionary history of the seed
Biological Reviews, EarlyView.ABSTRACT The seed is an essential stage in the life history of gymnospermous and angiospermous plants, facilitating both their survival and dispersal. We reappraise knowledge of the evolutionary history of the gymnospermous seed, from its origin in the late Devonian through to the well‐known end‐Permian extinctions – an interval encompassing the ...
Richard M. Bateman +2 more
wiley +1 more source
A Reinforcement Learning Model of Precommitment in Decision Making
Frontiers in Behavioral Neuroscience, 2010 Addiction and many other disorders are linked to impulsivity, where a suboptimal choice is preferred when it is immediately available. One solution to impulsivity is precommitment: constraining one's future to avoid being offered a suboptimal choice.
Zeb eKurth-Nelson, A. David eRedish
doaj +1 more source