Results 91 to 100 of about 228,877 (212)

Performance analysis of tabular and Fuzzy Q-learning under varying state and action space resolution [PDF]

International Journal of Electronics and Telecommunications
Reinforcement learning (RL) algorithms, such as Q-learning, are widely applied to control tasks involving continuous state spaces that require discretization or function approximation.
Roman Zajdel
doaj   +1 more source

Numerical Modeling of Photothermal Self‐Excited Composite Oscillators

Advanced Robotics Research, EarlyView.
We present a numerical framework for simulating photothermal self‐excited oscillations. The driving mechanism is elucidated by highlighting the roles of inertia and overshoot, as well as the phase lag between the thermal moment and the oscillation angle, which together construct the feedback loop between the system state and the environmental stimulus.
Zixiao Liu, Ryan R. Rusch, Zheng Wu, Chi Chen, Pengju Shi, Hao Qiu, Ximin He   +6 more
wiley   +1 more source

Hybrid Continuum Robot Designs and Architectures for Healthcare Applications

Advanced Robotics Research, EarlyView.
Hybrid continuum robots represent an emerging class of flexible manipulators that blend materials, structures, and actuation concepts from the established fields of soft and continuum robotics. This review introduces an accessible framework to distinguish key hybridization approaches, surveys current designs aimed at complex clinical applications, and ...
Burak Ozdemir, Muhammad A. Khalid, Manish Chauhan, Pietro Valdastri, James H. Chandler   +4 more
wiley   +1 more source

Analysis of a Two-Step Gradient Method with Two Momentum Parameters for Strongly Convex Unconstrained Optimization

Algorithms
The paper is devoted to the theoretical and numerical analysis of the two-step method, constructed as a modification of Polyak’s heavy ball method with the inclusion of an additional momentum parameter.
Gerasim V. Krivovichev, Valentina Yu. Sergeeva   +1 more
doaj   +1 more source

Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls

, 2017
We propose a rank-$k$ variant of the classical Frank-Wolfe algorithm to solve convex optimization over a trace-norm ball. Our algorithm replaces the top singular-vector computation ($1$-SVD) in Frank-Wolfe with a top-$k$ singular-vector computation ($k ...
Allen-Zhu, Zeyuan, Hazan, Elad, Hu, Wei, Li, Yuanzhi   +3 more
core  

The Role of Ionic Liquids at the Biological Interfaces in Bioelectronics

Advanced Science, EarlyView.
Ionic liquids (ILs) are highlighted as key artificial ionic materials that bridge biological ion‐based signaling and electronic devices. By understanding their composition, structure, function relationships, and mechanisms, ILs can advance from high performance electrolyte to core materials enabling integrated, multifunctional bioelectronics for ...
Yeong‐sinn Ye, Young Jin Jo, Ji Yeon Oh, Ju Yeon Jeong, Lili Guo, Tae‐il Kim   +5 more
wiley   +1 more source

On the fast convergence of minibatch heavy ball momentum

IMA Journal of Numerical Analysis
Abstract Simple stochastic momentum methods are widely used in machine learning optimization, but their good practical performance is at odds with an absence of theoretical guarantees of acceleration in the literature. In this work, we aim to close the gap between theory and practice by showing that stochastic heavy ball momentum retains
Bollapragada, Raghu, Chen, Tyler, Ward, Rachel   +2 more
openaire   +2 more sources

Functional Analysis of Ligand‐Gated Chloride Channels in a Cnidarian Sheds Light on the Evolution of Inhibitory Signaling

Advanced Science, EarlyView.
We uncover a large variety of putative inhibitory ligand‐gated ion channels (LGICs) in the phylum Cnidaria, the sister group to all bilaterian animals. Phylogenetic analysis suggests a complex evolutionary history of inhibitory LGICs with diverse neurotransmitter ligands.
Abhilasha Ojha, Linda Kloss, Juan D. Montenegro, Simone Albani, Audrey Ortega‐Ramírez, Mihaela Raycheva, Sylvia Joussen, Sabrina Kaul, Michèle Bachmann, Lisa Huf, Günther Schmalzing, Alison G. Cole, Ulrich Technau, Stefan Gründer   +13 more
wiley   +1 more source

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

Advanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen, Renato S. M. Almeida, Stefan Flauder, Guillaume Couégnat, Kamen Tushtev, Jürgen Horvath, Peter Wriggers, Kurosch Rezwan   +7 more
wiley   +1 more source

Almost everywhere convergence of orthogonal expansions of several variables

, 2003
For weighted $L^1$ space on the unit sphere of $\RR^{d+1}$, in which the weight functions are invariant under finite reflection groups, a maximal function is introduced and used to prove the almost everywhere convergence of orthogonal expansions in $h ...
Xu, Yuan
core   +1 more source