Results 11 to 20 of about 2,699 (261)
A Sampling-Based Algorithm with the Metropolis Acceptance Criterion for Robot Motion Planning
Sensors, 2022 Motion planning is one of the important research topics of robotics. As an improvement of Rapidly exploring Random Tree (RRT), the RRT* motion planning algorithm is widely used because of its asymptotic optimality.
Yiyang Liu +4 more
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Asymptotic optimality of antidictionary codes [PDF]
2010 IEEE International Symposium on Information Theory, 2010 5 pages, to appear in the proceedings of 2010 IEEE International Symposium on Information Theory (ISIT2010)
Takahiro Ota, Hiroyoshi Morita
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Optimal Model Averaging for Semiparametric Partially Linear Models with Censored Data
Mathematics, 2023 In the past few decades, model averaging has received extensive attention, and has been regarded as a feasible alternative to model selection. However, this work is mainly based on parametric model framework and complete dataset.
Guozhi Hu, Weihu Cheng, Jie Zeng
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Asymptotically Optimal Agents [PDF]
, 2011 21 LaTeX ...
Tor Lattimore, Marcus Hutter
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A New Construction of Codebooks Meeting the Levenshtein Bound
IEEE Access, 2020 Codebooks with low coherence have extensive applications in many fileds such as code division multiple access (CDMA) communication systems, MIMO communications, compressed sensing and so on. In this paper, based on additive characters over finite fields,
Li Han +3 more
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Zero-order Approximation of Three-time Scale Singular Linear-quadratic Optimal Control Problem
Моделирование и анализ информационных систем, 2015 This paper is devoted to the construction of a zero-order approximation of the solution of a three-time scale singular perturbed linear-quadratic optimal control problem with the help of the direct scheme method.
M. A. Kalashnikova
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Model averaging for generalized linear models in fragmentary data prediction
Statistical Theory and Related Fields, 2022 Fragmentary data is becoming more and more popular in many areas which brings big challenges to researchers and data analysts. Most existing methods dealing with fragmentary data consider a continuous response while in many applications the response ...
Chaoxia Yuan, Yang Wu, Fang Fang
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On Thompson Sampling and Asymptotic Optimality [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 We discuss some recent results on Thompson sampling for nonparametric reinforcement learning in countable classes of general stochastic environments. These environments can be non-Markovian, non-ergodic, and partially observable. We show that Thompson sampling learns the environment class in the sense that (1) asymptotically its value converges in ...
Jan Leike +3 more
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Asymptotic optimality of twist-untwist protocols for Heisenberg scaling in atom-based sensing
Physical Review Research, 2022 Twist-untwist protocols for quantum metrology consist of a serial application of (1) unitary nonlinear dynamics (e.g., spin squeezing or Kerr nonlinearity), (2) parameterized dynamics U(ϕ) (e.g., a collective rotation or phase space displacement), and (3)
T. J. Volkoff, Michael J. Martin
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Two New Classes of Codebooks Asymptotically Achieving the Welch Bound
IEEE Access, 2021 Exponential sums over Galois rings have many applications in coding theory, cryptography and algebraic combinatorics. In this article, we employ additive characters and multiplicative characters over Galois rings to present two classes of codebooks, and ...
Shimin Sun, Li Han, Yang Yan, Yao Yao
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