Results 21 to 30 of about 212,805 (267)
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
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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
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CoRR, 2020 The use of target networks is a common practice in deep reinforcement learning for stabilizing the training; however, theoretical understanding of this technique is still limited. In this paper, we study the so-called periodic Q-learning algorithm (PQ-learning for short), which resembles the technique used in deep Q-learning for solving infinite ...
Donghwan Lee 0002, Niao He
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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
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SSRN Electronic Journal, 2022 70 pages, 4 figures, appended with an ...
Yanwei Jia, Xun Yu Zhou
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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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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 +5 more
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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 +3 more
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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
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