Results 101 to 110 of about 7,724,255 (252)

Una estrategia híbrida de aprendizaje por refuerzo informada por RRT* para la planificación de caminos de robots móviles en minería a cielo abierto

open access: yesRevista Iberoamericana de Automática e Informática Industrial RIAI
Este trabajo introduce una estrategia híbrida de planificación de caminos para vehículos robóticos tipo diferencial, combinando métodos de aprendizaje por refuerzo con técnicas de muestreo aleatorio.
Sebastian Zapata   +5 more
doaj   +1 more source

Hybrid Ferroelectric Tunnel Junctions with Intrinsic Nonlinearity and Self‐Rectification via Interfacial Reconstruction

open access: yesAdvanced Functional Materials, EarlyView.
Rapid thermal annealing reconstructs the BCFO/Nb:STO interface into an atomically thin reconstructed interfacial layer, which reshapes the tunneling barrier and converts a high‐TER ferroelectric tunnel junction into an intrinsically nonlinear, self‐rectifying device.
Hojin Lee   +21 more
wiley   +1 more source

Exploration design for Q-learning-based adaptive linear quadratic optimal regulators under stochastic disturbances

open access: yesSICE Journal of Control, Measurement, and System Integration
This study considers a discrete-time, linear state feedback control strategy rooted in Q-learning, one of the Reinforcement Learning (RL) approaches, to address an adaptive Linear Quadratic (LQ) problem under stochastic disturbances. Q-learning optimizes
Vina Putri Virgiani, Shiro Masuda
doaj   +1 more source

Q-learning Based Meta-Heuristics for Scheduling Bi-Objective Surgery Problems with Setup Time

open access: yesComplex System Modeling and Simulation
Since the increasing demand for surgeries in hospitals, the surgery scheduling problems have attracted extensive attention. This study focuses on solving a surgery scheduling problem with setup time. First, a mathematical model is created to minimize the
Ruixue Zhang   +3 more
doaj   +1 more source

Designing professional learning [PDF]

open access: yes, 2014
The Designing Professional Learning report provides a snapshot of the key elements involved in creating effective and engaging professional learning in a globally dispersed market.
Learning Forward
core  

Drop‐on‐Demand Printed Negative Dielectric Anisotropy Liquid Crystal Droplets for Adaptive Complex Beam Manipulation and Assessment

open access: yesAdvanced Functional Materials, EarlyView.
Printed negative‐dielectric‐anisotropy liquid‐crystal droplets enable multidimensional full‐vectorial optical‐field sensing across polarization, phase, and wavelength, while also generating tunable skyrmionic‐like complex optical fields. ABSTRACT Adaptive manipulation of vectorial optical fields is important for optical metrology, imaging, and ...
Jinge Guo   +14 more
wiley   +1 more source

Context Aware Task Orchestration With Deep Reinforcement Learning in Real Time Fog Computing Simulation Environment

open access: yesIEEE Access
In the ever-evolving landscape of cloud computing, fog and edge computing have become more prominent because of their natural property of proximity to demanding parts.
Alp Gokhan Hossucu, Suat Ozdemir
doaj   +1 more source

Analog Classification of Human Hand Gestures Exploiting Dendritic Integration With an Organic Artificial Soma

open access: yesAdvanced Functional Materials, EarlyView.
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi   +7 more
wiley   +1 more source

Optical Detection of Cellular Signals at Material Interfaces

open access: yesAdvanced Healthcare Materials, EarlyView.
Emerging functional materials are transforming optical detection of cellular signals. This review highlights optical techniques that exploit the unique optical properties of diverse materials to detect and quantify cellular electrical, chemical, and mechanical signals, and discusses key opportunities and challenges.
Xuchen Ren   +5 more
wiley   +1 more source

A Navigation Algorithm Based on the Reinforcement Learning Reward System and Optimised with Genetic Algorithm

open access: yesMathematics
Regarding autonomous vehicle navigation, reinforcement learning is a technique that has demonstrated significant results. Nevertheless, it is a technique with a high number of parameters that need to be optimised without prior information, and correctly ...
Mireya Cabezas-Olivenza   +4 more
doaj   +1 more source

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