Results 21 to 30 of about 7,724,255 (252)

Q-learning based strategy analysis of cyber-physical systems considering unequal cost

Intelligent and Converged Networks, 2023
This paper proposes a cyber security strategy for cyber-physical systems (CPS) based on Q-learning under unequal cost to obtain a more efficient and low-cost cyber security defense strategy with misclassification interference.
Xin Chen, Jixiang Cheng, Luanjuan Jiang, Qianmu Li, Ting Wang, Dafang Li   +5 more
doaj   +1 more source

Output Feedback Control for Deterministic Unknown Dynamics Discrete-Time System Using Deep Recurrent Q-Networks

IEEE Access, 2023
The current application of control theory is commonly carried out in systems with a model or known system dynamics. However, in practice this is a formidable task to achieve as not all state information can be known. The use of the Output Feedback (OPFB)
Adi Novitarini Putri, Egi Hidayat, Dimitri Mahayana, Carmadi Machbub   +3 more
doaj   +1 more source

Q-LVS: A Q-Learning-based Algorithm for Video Streaming in Peer-to-Peer Networks Considering a Token-Based Incentive Mechanism [PDF]

Journal of Artificial Intelligence and Data Mining, 2022
Peer-to-peer video streaming has reached great attention during recent years. Video streaming in peer-to-peer networks is a good way to stream video on the Internet due to the high scalability, high video quality, and low bandwidth requirements.
Z. Imanimehr
doaj   +1 more source

Impacto de constantes en algoritmo q-learning en pac-man

, 2022
Se analiza el impacto de variables en la función de q-learning para el juego pacman.Ingeniero de Sistemas y ...
Martínez Contreras, Juan Pablo
core   +1 more source

OPTIMIZING QOS IN SELF ORGANIZING HETEROGENEOUS WIRELESS CELLULAR NETWORK USING FIREFLY ALGORITHM

ICTACT Journal on Communication Technology, 2022
Capacity and energy efficiency are crucial for next-generation wireless networks. Due to the dense deployment of base stations (BSs) in a heterogeneous network (HetNets), the consumption is from 60% to 80% of the total energy causing accentuated costs ...
Gajanan Uttam Patil, Girish Ashok Kulkarni   +1 more
doaj   +1 more source

Expanding the notion of global learning: Turkish-Dutch teens’ networked configurations for learning [PDF]

, 2020
Digital technology facilitate interactions between learners and resources at a global level. New learner prototypes are therefore proposed, such as the notion of the global learner.
Ünlüsoy, Asli, de Haan, M.J., Leerstoel Haan, Education and Learning: Cognitive and Motor Disabilities, de Haan, Mariëtte, Ünlüsoy, A.   +5 more
core   +2 more sources

A Method of Optimizing Weight Allocation in Data Integration Based on Q-Learning for Drug-Target Interaction Prediction

Frontiers in Cell and Developmental Biology, 2022
Calculating and predicting drug-target interactions (DTIs) is a crucial step in the field of novel drug discovery. Nowadays, many models have improved the prediction performance of DTIs by fusing heterogeneous information, such as drug chemical structure
Jiacheng Sun, Jiacheng Sun, Jiacheng Sun, You Lu, You Lu, You Lu, Linqian Cui, Linqian Cui, Linqian Cui, Qiming Fu, Qiming Fu, Qiming Fu, Hongjie Wu, Jianping Chen, Jianping Chen   +14 more
doaj   +1 more source

Ramp Metering Control Based on the Q-Learning Algorithm

Cybernetics and Information Technologies, 2015
Modern urban highways are under the influence of increased traffic demand and cannot fulfill the desired level of service anymore. In most of the cases there is no space available for any infrastructure building.
Ivanjko Edouard, Koltovska Nečoska Daniela, Gregurić Martin, Vujić Miroslav, Jurković Goran, Mandžuka Sadko   +5 more
doaj   +1 more source

Uncertainty-aware Path Planning using Reinforcement Learning and Deep Learning Methods [PDF]

Computer and Knowledge Engineering, 2020
This paper proposes new algorithms to improve Reinforcement Learning (RL) and Deep Q-Network (DQN) methods for path planning considering uncertainty in the perception of environment.
Nematollah Ab azar, Aref Shahmansoorian, Mohsen Davoudi   +2 more
doaj   +1 more source

Deep functional measurements of Fragile X syndrome human neurons reveal multiparametric electrophysiological disease phenotype

Communications Biology
Fragile X syndrome (FXS) is a neurodevelopmental disorder caused by hypermethylation of expanded CGG repeats (>200) in the FMR1 gene leading to gene silencing and loss of Fragile X Messenger Ribonucleoprotein (FMRP) expression. FMRP plays important roles
James J. Fink, Nathaniel Delaney-Busch, Ryan Dawes, Evanthia Nanou, Christopher Folts, Karthiayani Harikrishnan, Chris Hempel, Hansini Upadhyay, Trinh Nguyen, Himali Shroff, David Stoppel, Steven J. Ryan, Jane Jacques, Jennifer Grooms, Elizabeth Berry-Kravis, Mark F. Bear, Luis A. Williams, David Gerber, Mark Bunnage, Brinley Furey, Graham T. Dempsey   +20 more
doaj   +1 more source