Results 191 to 200 of about 5,721,941 (348)

From In‐Silico Optimized Microfabrication to Experimental Validation: Engineering a Tridimensional Epi‐Intraneural Interface

Advanced Functional Materials, EarlyView.
An epi‐intraneural interface is developed through in silico optimization and a novel tridimensional microfabrication pipeline. The device integrates penetrating and epineural contacts on a flexible substrate. Mechanical, electrochemical, and in vivo testing in rat and pig reveal robust implantation, low‐threshold activation, and site‐dependent ...
Federico Ciotti, Andrea Cimolato, Noemi Gozzi, Pietro Palopoli, Luca Brugnoli, Natalija Katic Secerovic, Rebecca Gallivan, Alexander Shokurov, Carlo Menon, Johannes Weichart, Ignacio Delgado‐Martinez, Weiguo Song, Stavros Zanos, Xavier Navarro, Stanisa Raspopovic   +14 more
wiley   +1 more source

Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning. [PDF]

Sensors (Basel), 2021
Hua J, Zeng L, Li G, Ju Z.
europepmc   +1 more source

Imitation learning from observation for ROV path tracking [PDF]

Jun Wang, Song Xiang, Shen Tian, Zheng Fang, Songjie Niu, Xingwei Pan, Guangliang Li   +6 more
openalex   +1 more source

Planning for Sample Efficient Imitation Learning [PDF]

, 2022
Zhao-Heng Yin, Weirui Ye, Qifeng Chen, Yang Gao   +3 more
openalex   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

The assessment of presence and performance in an AR environment for motor imitation learning: A case-study on violinists.

Comput Human Behav, 2023
Campo A, Michałko A, Van Kerrebroeck B, Stajic B, Pokric M, Leman M.   +5 more
europepmc   +1 more source

Towards Autonomous Eye Surgery by Combining Deep Imitation Learning with Optimal Control. [PDF]

Proc Mach Learn Res, 2021
Kim JW, Zhang P, Gehlbach P, Iordachita I, Kobilarov M.   +4 more
europepmc   +1 more source

Proximal Point Imitation Learning [PDF]

, 2022
Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher   +4 more
openalex   +1 more source

Does a Morphotropic Phase Boundary Exist in ZrxHf1‐xO2‐Based Thin Films?

Advanced Functional Materials, EarlyView.
This study investigates 6 nm zirconium‐rich hafnium‐zirconium oxide thin–film metal–insulator–metal capacitors using a combination of experimental methods and machine learning–based molecular dynamics simulations to provide insight into the physical mechanisms that enhance the dielectric constant near 0 V and attribute it to the field‐induced ...
Pramoda Vishnumurthy, Richard Ganser, Dong‐Gyu Kim, Intak Jeon, Chang Hwa Jung, Hanjin Lim, Thomas Mikolajick, Susan Trolier‐McKinstry, Alfred Kersch, Uwe Schroeder   +9 more
wiley   +1 more source

RILe: Reinforced Imitation Learning

Acquiring complex behaviors is essential for artificially intelligent agents, yet learning these behaviors in high-dimensional settings poses a significant challenge due to the vast search space. Traditional reinforcement learning (RL) requires extensive manual effort for reward function engineering. Inverse reinforcement learning (IRL) uncovers reward
Albaba, Mert, Christen, Sammy, Langarek, Thomas, Gebhardt, Christoph, Hilliges, Otmar, Black, Michael J.   +5 more
openaire   +2 more sources