Results 161 to 170 of about 171,350 (313)

Control of Dynamics Systems Based on Q-learning

Advances in Electrical and Electronic Engineering, 2004
The purpose of the paper is to present an algorithm for solving nonlinear systems control problem based on Q-learning,which is a model-free approach belonging to the adaptive critic family of designs and its advantage over other algorithms of thisfamily ...
Anna Filasova, Juraj Klacik, Jan Kasprisin   +2 more
doaj  

Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes. [PDF]

Diagnostics (Basel), 2023
Tejedor M, Hjerde SN, Myhre JN, Godtliebsen F.   +3 more
europepmc   +1 more source

A Study of Q-learning: Dynamic Structuring of Exploration Space Based on Genetic Algorithm

, 2001
Kazuyuki Ito, Fumitoshi Matsuno
openalex   +2 more sources

Formulation and Characterization of Novel Ionizable and Cationic Lipid Nanoparticles for the Delivery of Splice‐Switching Oligonucleotides

Advanced Materials, EarlyView.
Lipid nanoparticles (LNPs) of unconventional composition and defined structures are investigated as small oligonucleotide carriers. A composition is identified that outperforms Onpattro in cargo delivery to HeLa cells. The structure of these LNPs resembles a micellar cubic phase not commonly associated with high‐performing LNPs.
Miina Ojansivu, Hanna M. G. Barriga, Margaret N. Holme, Stefanie Morf, James J. Doutch, Samir EL Andaloussi, Tomas Kjellman, Markus Johnsson, Justas Barauskas, Molly M. Stevens   +9 more
wiley   +1 more source

Deep Q-learning to globally optimize a k-D parameter search for medical imaging. [PDF]

Quant Imaging Med Surg, 2023
Zhang H, Liang S, Matkovic LA, Momin S, Wang K, Yang X, Insana MF.   +6 more
europepmc   +1 more source

Adaptive Behavior Learning for a Distributed Autonomous Swimming Robot by Switching-Q

, 2001
Daisuke Iijima, Takuya Ishioka, Yu Woiwei, Akira Hayashf, Hiroshi Yokoi, Yukinori Kakazu   +5 more
openalex   +1 more source

A New Q-Learning Algorithm Based on the Metropolis Criterion [PDF]

, 2004
Meng Guo, Yi Liu, Jacek Malec
openalex   +1 more source

Pressure Induced Molecular‐Arrangement and Charge‐Density Perturbance in Doped Polymer for Intelligent Motion and Vocal Recognitions

Advanced Materials, EarlyView.
The sidechain doped polymer is investigated to have great potential for pressure detection due to the advantages including molecular rearrangement and charge‐density perturbance induced by micro‐mechanical deformation. This sensor displayed low‐pressure detection limit of 0.7 Pa as well as a rapid response time of 18.8 ms, enabling multi‐mode motion ...
Huimin Lu, Lei Zhang, Jingyan Jiang, Jian Song, Zhongchao Zhou, Wujian Wu, Ziqian Cheng, Tengfei Yan, Hong Hu, Tingting Zhao, Zhen Xu, Siyi Luo, Hui Li, Jianhua Zhang, Charles H. Lawrie   +14 more
wiley   +1 more source

A hybrid classical-quantum approach to speed-up Q-learning. [PDF]

Sci Rep, 2023
Sannia A, Giordano A, Gullo NL, Mastroianni C, Plastina F.   +4 more
europepmc   +1 more source

2P1-L1 Acquisition of Collision Avoidance Knowledge for AGV's Based on Q-Learning

, 2001
M. Ikeda, Momoko Watanabe, Masashi Furukawa   +2 more
openalex   +2 more sources