Results 111 to 120 of about 201,347 (283)

discounting

open access: yes
This document is a newcomer guide to the economic theory of discounting, with applications to climate change and sustainability. It borrows ingredients from public economics, decision theory, and asset pricing theory, without any prerequisites beyond microeconomics 101.
Gollier, Christian   +2 more
  +8 more sources

Why do professional athletes have different time preferences than non-athletes? [PDF]

open access: yesJudgment and Decision Making, 2011
The objective of this paper is to measure and compare the subjective time discounting of professional athletes and non-athletes. By using a questionnaire, we found higher subjective discounting for professional athletes than for non-athletes.
Alex Krumer, Tal Shavit, Mosi Rosenboim
doaj  

THE NEOCLASSICAL GROWTH MODEL WITH HETEROGENOUS QUASI-GEOMETRIC CONSUMERS [PDF]

open access: yes
This paper studies how the assumption of quasi-geometric (quasi-hyperbolic) discounting affects the individual consumption-savings behavior in the context of the standard one-sector neoclassical growth model with heterogeneous agents.
Lilia Maliar, Serguei Maliar
core  

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang   +4 more
wiley   +1 more source

Deriving time discounting correction factors for TTO tariffs [PDF]

open access: yes
The Time Tradeoff (TTO) method is a popular method for valuing health state utilities and is frequently used in economic evaluations. However, this method produces utilities that are distorted by several biases.
Attema, Arthur, Brouwer, Werner
core   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai   +3 more
wiley   +1 more source

Steering the Shape‐shifting of Bullvalene‐PdII Complexes Through Steric and Geometric Strain

open access: yesAngewandte Chemie, EarlyView.
This study explores the use of bis‐pyridyl substituted bullvalenes as dynamic shape‐shifting ligands within cis‐capped PdII complexes. The ring position of the pyridyl nitrogen is critical, leading to a range of Pd2L2 metallacycles and simple PdL complexes, each with distinctive bullvalene isomer preferences (represented in the figure by A‐D isomer ...
André P. Birvé   +2 more
wiley   +2 more sources

Features of discounting lease payments in the context of determining the interest rate

open access: yesИнтеллект. Инновации. Инвестиции
When discounting rental payments, the discount rate level plays a key role. If, in accordance with the terms of the lease agreement, the rate cannot be precisely determined, it is necessary to resort to similar borrowing rates with comparable conditions,
V. S. Levin
doaj   +1 more source

Non-constant discounting in finite horizon: The free terminal time case [PDF]

open access: yes
This paper derives the HJB (Hamilton-Jacobi-Bellman) equation for sophisticated agents in a finite horizon dynamic optimization problem with non-constant discounting in a continuous setting, by using a dynamic programming approach.
Jesus Marin Solano, Jorge Navas Rodenes
core   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

open access: yesAdvanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee   +7 more
wiley   +1 more source

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