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Proximal Parameter Distribution Optimization
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021Encouraging the agent to explore has become a hot topic in the field of reinforcement learning (RL). The popular approaches to engage in exploration are mainly by injecting noise into neural network (NN) parameters or by augmenting additional intrinsic motivation term.
Xuesong Wang 0001 +2 more
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INDUCTIVE LEARNING FOR PARAMETER OPTIMIZATION
Cybernetics and Systems, 2000Optimization of simulation model output is one of the most important tasks in a simulation study of a complex system. Efficacy of an optimization approach is expressed in the accuracy of locating a global extremum, as well as in the number of investigated search points.
Rainer Barton, Helena Szczerbicka
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WCDMA handover parameters optimization
2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577), 2004WCDMA soft handover is assisted by mobile station's measurements of the monitored and active set cells' quality. The rules for measurement reporting are based on thresholds whose computation depends on many parameters. The setting of parameters greatly affects handover, performance and downlink capacity consumption.
Vieri Vanghi, Christophe Chevallier
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Regret Transfer and Parameter Optimization
Proceedings of the AAAI Conference on Artificial Intelligence, 2014Regret matching is a widely-used algorithm for learning how to act. We begin by proving that regrets on actions in one setting (game) can be transferred to warm start the regrets for solving a different setting with same structure but different payoffs that can be written as a function of parameters.
Noam Brown, Tuomas Sandholm
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Optimizing Parameters for Smoke Evacuation
Dermatologic Surgery, 2021BACKGROUND Current literature lacks recommendations regarding the ideal organization of the smoke evacuation system to minimize inhalation of surgical smoke. OBJECTIVE This study determines optimal parameters of the smoke evacuation system with respect to the surgical field.
Jusleen, Ahluwalia +3 more
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On the Definition of a Minimum in Parameter Optimization
Journal of Optimization Theory and Applications, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Optimal Parameter Height Ridges
Journal of Visual Communication and Image Representation, 2002Ridges have shown themselves to be extremely useful for various image analysis tasks. This paper presents a number of common ridges used in image processing within a common framework and then proproses a defining property for ridges, the subdimensional maximum property.
Jacob D. Furst, Stephen M. Pizer
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CubeSat Separation Parameter Optimization
2018 12th International Conference on Signal Processing and Communication Systems (ICSPCS), 2018To implement noninterference deployment and meet the initial orbital attitude requirements of CubeSat, the CubeSat separation process is designed, theoretical analyzed and parameter optimized. Aiming at the direct-driving kinematic scheme of separation spring pushing CubeSat to open the door, the dynamic mathematical model for kinematic coupling system
Jiaolong Zhang, Jun Zhou, Yaosheng Deng
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Optimization of parameters in SDFEM for different spaces of parameters
Applied Mathematics and Computation, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Optimal quantization of LSP parameters
IEEE Transactions on Speech and Audio Processing, 1993Two nonuniform aspects of the line spectrum pair (LSP) linear predictive coding (LPC) parameters are investigated, including nonuniform statistical distributions and spectral sensitivities of adjacent LSP frequency differences. Based upon these two nonuniform properties, a globally optimal scalar quantizer is designed for each differential LSP ...
Frank K. Soong, Biing-Hwang Juang
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