Reinforcement learning - Open Access .click

Results 151 to 160 of about 640,433 (264)

Advanced Materials, EarlyView.
Orientation engineering of MXene flakes refers to the transformation of disordered MXene flakes into ordered architectures with optimized multiphysical transport properties. Focusing on this topic, this review outlines key principles, characterization, fabrication strategies, and advanced applications of oriented MXene structures.
Yizhou Wang +7 more
wiley +1 more source

Strategies for updating rules driven by reinforcement learning to solve social dilemmas. [PDF]

PLoS One
Wang Y, Yu X, Lu S.
europepmc +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu +5 more
wiley +1 more source

Adaptive X-ray imaging with reinforcement learning. [PDF]

J Synchrotron Radiat
Boltz T, Ratner D, Webb SM.
europepmc +1 more source

Exploring the Potential of Zero‐Dimensional Carbon Nanomaterials in Photoluminescent, Electrochemiluminescent and Electrochemical Sensors

Advanced Materials Interfaces, EarlyView.
Zero‐dimensional carbon nanomaterials are presented as multifunctional platforms linking structure, property, and sensing performance. Surface engineering and heteroatom doping modulate electron‐transfer and luminescent behavior, enabling electrochemical, photoluminescent, and electrochemiluminescent detection. Fundamental design principles, analytical
Gustavo Martins +8 more
wiley +1 more source

Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications

Advanced Materials Technologies, EarlyView.
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley +1 more source

A deep reinforcement learning approach to dance movement analysis. [PDF]

Sci Rep
Yin P, Li X.
europepmc +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source

Information-Theoretic Intrinsic Motivation for Reinforcement Learning in Combinatorial Routing. [PDF]

Entropy (Basel)
Xi R, Ni Y, Wu W.
europepmc +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source

reinforcement, psychology
deep reinforcement learning
humans

artificial intelligence
algorithms
machine learning

learning
markov chains
machine learning cs.lg