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Indefinite q-integrals from a method using q-Riccati equations
In an earlier work, a method was introduced for obtaining indefinite q -integrals of q -special functions from the second-order linear q -difference...
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A controlling estimation bias method: Max_Mix_Min estimator for Q-learning
Although Q-learning (QL) is widely used in reinforcement learning, it suffers from overestimation bias, which can lead to poor performance in...
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An inverse Q filtering method with efficient Q estimation using a BP neural network
Inverse Q filtering is a common tool in seismic processing that can be used to improve the resolution of post-stack seismic data. However, it is...
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An automatic Q-factor matching method for eliminating 77% of the ZRO of a MEMS vibratory gyroscope in rate mode
Mismatching quality factors (Q-factors) is one of the main factors causing zero-rate output (ZRO) in degenerate (DE) Micro-Electro-Mechanical Systems...
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Irreps of qqq and \(q q \bar{q}\) States by Recursive Pairing
Finding the irreps of a three-parton system abc can be done by first decomposing the parton pair ab into a sum of irreps...
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Backtracking New Q-Newton’s Method, Newton’s Flow, Voronoi’s Diagram and Stochastic Root Finding
A new variant of Newton’s method - named Backtracking New Q-Newton’s method (BNQN) - which has strong theoretical guarantee, is easy to implement,...
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Navigation method for autonomous mobile robots based on ROS and multi-robot improved Q-learning
Recently, path planning of multi-autonomous mobile robot systems is one of the interesting topics in scientific research due to its complexity and...
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The Method of Establishing Equivalent Q Value Model for Compensating Medium Absorption
Seismic resolution is a technical bottleneck restricting reservoir identification and description under thin interbed geological conditions in the...
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Hybrid Q&A Method for Knowledge Graph and Documents of Global Petroliferous Basins
The massive data and information in the petroliferous basins formed by exploration and development are extremely valuable. Thus, they need to be...
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A Hybrid Framework for Selecting Food Waste Treatment Techniques Using q-Rung Orthopair Fuzzy CRITIC-Generalized TODIM Method
Evaluation and prioritization are indispensable for selecting the appropriate FWTT (food waste treatment technique). Previous research shows that the...
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Prospect Theory-Based q-Rung Orthopair Fuzzy TODIM Method for Risk Assessment of Renewable Energy Projects
Traditional fossil fuels and has become an important component of clean energy. Vigorously investing in and develo** renewable energy projects is...
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Color States of \(q \bar{q}\) , qg and qqq Systems
We systematically apply the tensor method described in Chap. 3 for a pair of quarks to find the irreps of...
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Cognitive diagnostic assessment: A Q-matrix constraint-based neural network method
Cognitive diagnosis is a crucial element of intelligent education that aims to assess the proficiency of specific skills or traits in students at a...
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Multi-Agent Path Planning Method Based on Improved Deep Q-Network in Dynamic Environments
The multi-agent path planning problem presents significant challenges in dynamic environments, primarily due to the ever-changing positions of...
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Modified Q-type purse-string suture duodenal stump embedding method for laparoscopic gastrectomy for gastric cancer
ObjectiveThis study introduced the modified Q-type purse-string suture duodenal stump embedding method, a convenient way to strengthen the duodenum,...
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Seismic decomposition method using Ricker wavelet dictionary and its applications for Q-value estimation
Seismic records are composed of many seismic wavelets that are reflected from underground impedance interfaces. Q -value information of the formations...
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Hybrid decision making method based on q-rung orthopair fuzzy improved weighted geometric operator of q-rung orthopair fuzzy values
In this article, a hybrid multi-attribute decision-making (MADM) strategy for the q -rung orthopair fuzzy values ( q -ROVs) environment is presented....
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Multiattribute group decision-making based on weighted correlation coefficient of linguistic q-rung orthopair fuzzy sets and TOPSIS method
Linguistic q-rung orthopair fuzzy number (Lq-ROFN) is a valuable tool for expressing the uncertainty of qualitative information that has received a...
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Judgmentally adjusted Q-values based on Q-ensemble for offline reinforcement learning
Recent advancements in offline reinforcement learning (offline RL) have leveraged the Q-ensemble approach to derive optimal policies from static...
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Interleaved Q-Learning
In this chapter, a novel off-policy interleaved Q-learning algorithm is presented for solving optimal controlOptimal control problem of affine...