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Concept

Time preference

Related publications (13)

Discount models

Damir Filipovic

Discount is the difference between the face value of a bond and its present value. We propose an arbitrage-free dynamic framework for discount models, which provides an alternative to the Heath-Jarrow-Morton framework for forward rates. We derive general c ...

Springer Heidelberg2023

Reward timing matters in motor learning

Pierre Theopistos Vassiliadis

Reward timing, that is, the delay after which reward is delivered following an action is known to strongly influence reinforcement learning. Here, we asked if reward timing could also modulate how people learn and consolidate new motor skills. In 60 health ...

CELL PRESS2022

One-shot learning and eligibility traces in sequential decision making

Marco Philipp Lehmann

When humans or animals perform an action that led to a desired outcome, they show a tendency to repeat it. The mechanisms underlying learning from past experience and adapting future behavior are still not fully understood. In this thesis, I study how huma ...

EPFL2018

A discounted recursive logit model for dynamic gridlock network analysis

Yuki Oyama

Emerging sensing technologies such as probe vehicles equipped with Global Positioning System (GPS) devices on board provide us real-time vehicle trajectories. They are helpful for the understanding of the cases that are significant but difficult to observe ...

2017

Strategic energy planning under uncertainty

Stefano Moret

Various countries and communities are defining or rethinking their energy strategy driven by concerns for climate change and security of energy supply. Energy models, often based on optimization, can support this decision-making process. In the current ene ...

EPFL2017

Financial Markets Equilibrium with Heterogeneous Agents

Semyon Malamud

This paper presents an equilibrium model in a pure exchange economy when investors have three possible sources of heterogeneity. Investors may differ in their beliefs, in their level of risk aversion, and in their time preference rate. The authors study th ...

Oxford University Press2012

Convexity bounds for BSDE solutions, with applications to indifference valuation

Christoph Frei, Semyon Malamud

We consider backward stochastic differential equations (BSDEs) with a particular quadratic generator and study the behaviour of their solutions when the probability measure is changed, the filtration is shrunk, or the underlying probability space is transf ...

2011

Encoding of Marginal Utility across Time in the Human Brain

Marginal utility theory prescribes the relationship between the objective property of the magnitude of rewards and their subjective value. Despite its pervasive influence, however, there is remarkably little direct empirical evidence for such a theory of v ...

2009

Stress, genotype and norepinephrine in the prediction of mouse behavior using reinforcement learning

Maria del Carmen Sandi Perez, Wulfram Gerstner, Gediminas Luksys

Individual behavioral performance during learning is known to be affected by modulatory factors, such as stress and motivation, and by genetic predispositions that influence sensitivity to these factors. Despite numerous studies, no integrative framework i ...

Nature Publishing Group2009

Stress, individual differences, and norepinephrine in reinforcement learning-based prediction of mouse behavior in conditioning and spatial learning

Maria del Carmen Sandi Perez, Gediminas Luksys

Acute stress regulates different aspects of behavioral learning through the action of stress hormones and neuromodulators. Stress effects depend on stressor's type, intensity, timing, and the learning paradigm. In addition, genetic background of animals mi ...

EPFL2009

Methodology for evaluating new high volume composite manufacturing technologies

Simon Jespersen

Composite materials are increasingly used in high volume automotive applications, usually as a replacement for assemblies of multiple metallic parts such as stamped and spot-welded steel sheets. One of the motivations is to reduce tooling and assembly cost ...

EPFL2008

Effects of stress and genotype on meta-parameter dynamics in reinforcement learning

Wulfram Gerstner, Maria del Carmen Sandi Perez, Gediminas Luksys, Jérémie Knüsel

Stress and genetic background regulate different aspects of behavioral learning through the action of stress hormones and neuromodulators. In reinforcement learning (RL) models, meta-parameters such as learning rate, future reward discount factor, and expl ...

2007

Agile decision agent for service-oriented e-commerce systems

Boi Faltings, Pearl Pu Faltings

In a service-oriented e-commerce environment, it is a crucial task to help consumers choose desired products efficiently from a huge amount of dynamically configured product candidates. Decision agents can be designed to provide interactive decision aids f ...

IEEE Comput. Soc2006