Results 111 to 120 of about 257,916 (275)
Imitation Game: A Model-Based and Imitation Learning Deep Reinforcement Learning Hybrid
Autonomous and learning systems based on Deep Reinforcement Learning have firmly established themselves as a foundation for approaches to creating resilient and efficient Cyber-Physical Energy Systems. However, most current approaches suffer from two distinct problems: Modern model-free algorithms such as Soft Actor Critic need a high number of samples
Veith, Eric MSP +4 more
openaire +2 more sources
Liquid‐phase transmission electron microscopy enables direct observation of nucleation and growth processes in solution. This review is dedicated to the remembrance of Helmut Cölfen and highlights recent studies on complex materials—oxides, biominerals, organic–inorganic crystals—which were central to his research activity. It summarizes key milestones,
Charles Sidhoum +5 more
wiley +1 more source
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley +1 more source
A Fast Anti-Jamming Algorithm Based on Imitation Learning for WSN. [PDF]
Zhou W, Zhou Z, Niu Y, Zhou Q, Ding H.
europepmc +1 more source
Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan +9 more
wiley +1 more source
The Mirror Protocol for teaching generalized Imitation in six children with Autism Spectrum Disorder
Background: Generalized Imitation is a higher-order ability that enables an individual to imitate novel behavior without extrinsic reinforcement. With this capability, children often learn by seizing natural daily opportunities. It is different, however,
Alice Bellodi +3 more
doaj +1 more source
Domain Adaptive Imitation Learning
We study the question of how to imitate tasks across domains with discrepancies such as embodiment, viewpoint, and dynamics mismatch. Many prior works require paired, aligned demonstrations and an additional RL step that requires environment interactions. However, paired, aligned demonstrations are seldom obtainable and RL procedures are expensive.
Kim, Kuno +4 more
openaire +2 more sources
This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley +1 more source
Bioprosthetic aortic valves have revolutionized the treatment of aortic stenosis, but their durability is limited by structural valve deterioration (SVD). This review focuses on the pericardial tissue at the heart of these valves, examining how its mechanical properties and calcification drive fatigue and failure.
Gabriele Greco +7 more
wiley +1 more source
Hardware Efficient Direct Policy Imitation Learning for Robotic Navigation in Resource-Constrained Settings. [PDF]
Sumanasena V +7 more
europepmc +1 more source

