Results 41 to 50 of about 6,813,126 (333)
Microservice Deployment in Edge Computing Based on Deep Q Learning
IEEE Transactions on Parallel and Distributed Systems, 2022 The microservice deployment strategy is promising in reducing the overall service response time in the microservice-oriented edge computing platform. However, existing works ignore the effect of different interaction frequencies among microservices and ...
Wenkai Lv +6 more
semanticscholar +1 more source
Q Learning Behavior on Autonomous Navigation of Physical Robot [PDF]
, 2011 Behavior based architecture gives robot fast and reliable action. If there are many behaviors in robot, behavior coordination is needed. Subsumption architecture is behavior coordination method that give quick and robust response.
Wicaksono, Handy
core +1 more source
Cybernetics and Information Technologies, 2023 Fog computing is one of the emerging forms of cloud computing which aims to satisfy the ever-increasing computation demands of the mobile applications. Effective offloading of tasks leads to increased efficiency of the fog network, but at the same time ...
Bhargavi K. +2 more
doaj +1 more source
Applied Sciences, 2019 Programming robots for performing different activities requires calculating sequences of values of their joints by taking into account many factors, such as stability and efficiency, at the same time. Particularly for walking, state of the art techniques
Cristyan R. Gil +2 more
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Aircraft Maintenance Check Scheduling Using Reinforcement Learning
Aerospace, 2021 This paper presents a Reinforcement Learning (RL) approach to optimize the long-term scheduling of maintenance for an aircraft fleet. The problem considers fleet status, maintenance capacity, and other maintenance constraints to schedule hangar checks ...
Pedro Andrade +3 more
doaj +1 more source
Traffic Light Cycle Configuration of Single Intersection Based on Modified Q-Learning
Applied Sciences, 2019 In recent years, within large cities with a high population density, traffic congestion has become more and more serious, resulting in increased emissions of vehicles and reducing the efficiency of urban operations.
Hung-Chi Chu +3 more
doaj +1 more source
Mathematical Biosciences and Engineering, 2023 In the control of the self-driving vehicles, PID controllers are widely used due to their simple structure and good stability. However, in complex self-driving scenarios such as curvature curves, car following, overtaking, etc., it is necessary to ensure
Yongqiang Yao +5 more
doaj +1 more source
Q-learning for robust satisfaction of signal temporal logic specifications [PDF]
, 2016 This paper addresses the problem of learning optimal policies for satisfying signal temporal logic (STL) specifications by agents with unknown stochastic dynamics.
Aksaray, Derya +4 more
core +2 more sources
A Q-Learning Proposal for Tuning Genetic Algorithms in Flexible Job Shop Scheduling Problems
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 Genetic algorithms (GAs) belong to the category of evolutionary algorithms and are frequently utilized for resolving challenging combinatorial problems.
Christian Perez +2 more
doaj +1 more source
Energies, 2021 In this paper, two universal reinforcement learning methods are considered to solve the problem of maximum power point tracking for photovoltaics. Both methods exhibit fast achievement of the MPP under varying environmental conditions and are applicable ...
Kostas Bavarinos +2 more
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