559   Artículos

 
en línea
Shui Jiang, Yanning Ge, Xu Yang, Wencheng Yang and Hui Cui    
Reinforcement learning (RL) is pivotal in empowering Unmanned Aerial Vehicles (UAVs) to navigate and make decisions efficiently and intelligently within complex and dynamic surroundings. Despite its significance, RL is hampered by inherent limitations su... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Muhammad Sheraz, Teong Chee Chuah, Mardeni Bin Roslee, Manzoor Ahmed, Amjad Iqbal and Ala?a Al-Habashna    
Data caching is a promising technique to alleviate the data traffic burden from the backhaul and minimize data access delay. However, the cache capacity constraint poses a significant challenge to obtaining content through the cache resource that degrade... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ziyi Wang, Xinran Li, Luoyang Sun, Haifeng Zhang, Hualin Liu and Jun Wang    
Efficient yet sufficient exploration remains a critical challenge in reinforcement learning (RL), especially for Markov Decision Processes (MDPs) with vast action spaces. Previous approaches have commonly involved projecting the original action space int... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Manos Garefalakis, Zacharias Kamarianakis and Spyros Panagiotakis    
As it concerns remote laboratories (RLs) for teaching microcontroller programming, the related literature reveals several common characteristics and a common architecture. Our search of the literature was constrained to papers published in the period of ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Tamás Kegyes, Alex Kummer, Zoltán Süle and János Abonyi    
We analyzed a special class of graph traversal problems, where the distances are stochastic, and the agent is restricted to take a limited range in one go. We showed that both constrained shortest Hamiltonian pathfinding problems and disassembly line bal... ver más
Revista: Information    Formato: Electrónico

 
en línea
Bisni Fahad Mon, Asma Wasfi, Mohammad Hayajneh, Ahmad Slim and Najah Abu Ali    
The utilization of reinforcement learning (RL) within the field of education holds the potential to bring about a significant shift in the way students approach and engage with learning and how teachers evaluate student progress. The use of RL in educati... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Prathamesh Lahande, Parag Kaveri and Jatinderkumar Saini    
Cloud computing delivers robust computational services by processing tasks on its virtual machines (VMs) using resource-scheduling algorithms. The cloud?s existing algorithms provide limited results due to inappropriate resource scheduling. Additionally,... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Orawan Kumdee, Md. Samim Hossain Molla, Kulwadee Kanavittaya, Jutamas Romkaew, Ed Sarobol and Sutkhet Nakasathien    
Rapid climate change may put future food security under threat, which emphasizes the significance of assessing the morpho-physiological and biochemical traits associated with maize tolerance against recurrent water stress at the early vegetative stage. T... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Thibaut Théate and Damien Ernst    
Classical reinforcement learning (RL) techniques are generally concerned with the design of decision-making policies driven by the maximisation of the expected outcome. Nevertheless, this approach does not take into consideration the potential risk assoc... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Ali S. Haider, Kush Bubbar and Alan McCall    
Achieving energy maximizing control of a Wave Energy Converter (WEC) not only needs a comprehensive dynamic model of the system?including nonlinear hydrodynamic effects and nonlinear characteristics of Power Take-Off (PTO)?but to treat the entire system ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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