Results 71 to 80 of about 6,367 (240)
Models of Portfolio Selection with Stochastic Dominance or Almost Stochastic Dominance Constraints
, 2013 In the paper models of share portfolio selection with first order or second order almost stochastic dominance constraints (for discrete random variables) are proposed.
Michalska, Ewa
core
Advanced Robotics Research, EarlyView.Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Echinoderm‐Inspired Autonomy for Soft‐Legged Robots
Advanced Robotics Research, EarlyView.Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker +2 more
wiley +1 more source
Two Essays on Almost Stochastic Dominance
, 2014 本博士論文主要分成兩個章節，分別討論風險趨避的投資者與非厭足(non-satiation) 的投資者在不同的決策標準下，應如何調整投資組合的權重，以達到最大化投資者期望效用之投資組合。 Shalit 和Yitzhaki 在1994 年發展出邊際條件隨機優越(MCSD)之理論，認為在一個給定資產權重的投資組合中，當所有風險趨避的投資者寧願增加此風險資產的權重，相對於其他風險資產，則稱此風險資產為邊際條件隨機優越的資產。在本文中，我們擴展這個概念，引用幾乎隨機優越的規則取代隨機優越來評估一項資產的優越性 ...
Wang, Wei-Ting, 王薇婷
core
Almost sure convergence rates of stochastic gradient methods under gradient domination
CoRRStochastic gradient methods are among the most important algorithms in training machine learning problems. While classical assumptions such as strong convexity allow a simple analysis they are rarely satisfied in applications. In recent years, global and local gradient domination properties have shown to be a more realistic replacement of strong ...
Weissmann, Simon +3 more
openaire +3 more sources
Advanced Robotics Research, EarlyView.Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Advanced Science, EarlyView.Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
Operations ResearchDecision with Several Objectives Under Uncertainty Important decisions typically involve multiple objectives and uncertainty. Assessing both multivariate utility and multivariate distributions for the attributes can be challenging. Moreover, big decisions are usually made by boards or committees with members holding divergent views and preferences ...
Alfred Müller +3 more
openaire +2 more sources
Perspective: Hollow Core Optical Fibres for Ultraviolet and Visible Wavelengths
Advanced Science, EarlyView.Hollow core optical fibres bypass material constraints that limit optical fibres at ultraviolet and visible wavelengths. However, their challenging fabrication has limited their development, and significant gains in performance remain possible. In this perspective we outline approaches to enable the next generation of fibres for shorter wavelengths ...
Robbie Mears +5 more
wiley +1 more source
This paper establishes existence of a stationary Markov perfect equilibrium in general stochastic games with noise—a component of the state that is nonatomically distributed and not directly affected by the previous period’s state and actions.
John Duggan
core +2 more sources