Results 21 to 30 of about 358,125 (307)
Optimistic Agents Are Asymptotically Optimal [PDF]
, 2012 We use optimism to introduce generic asymptotically optimal reinforcement learning agents. They achieve, with an arbitrary finite or compact class of environments, asymptotically optimal behavior. Furthermore, in the finite deterministic case we provide finite error bounds.
Peter Sunehag, Marcus Hutter
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Asymptotically Optimal Gathering on a Grid [PDF]
Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures, 2016 arXiv admin note: substantial text overlap with arXiv:1510 ...
Andreas Cord-Landwehr +3 more
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Mathematics, 2023 In this paper, we propose a model averaging estimation for the varying-coefficient partially linear models with missing responses. Within this context, we construct a HRCp weight choice criterion that exhibits asymptotic optimality under certain ...
Jie Zeng, Weihu Cheng, Guozhi Hu
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Austrian Journal of Statistics, 2015 In the context of clinical trials for comparing two treatments, a new class of covariate adjusted response adaptive procedures is developed to achieve a balance between clinical optimality and inferential precision.
Rahul Bhattacharya, Uttam Bandyopadhyay
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Asymptotically Optimal Codebooks Derived From Generalised Bent Functions
IEEE Access, 2020 Codebooks are required to have small inner-product correlation in many practical applications, such as direct spread code division multiple access communications, space-time codes and compressed sensing.
Qiuyan Wang, Yang Yan
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The Scientific World Journal, 2014 We address the scheduling problem for a no-wait flow shop to optimize total completion time with release dates. With the tool of asymptotic analysis, we prove that the objective values of two SPTA-based algorithms converge to the optimal value for ...
Tao Ren +4 more
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Combining Multiple Strategies for Multiarmed Bandit Problems and Asymptotic Optimality
Journal of Control Science and Engineering, 2015 This brief paper provides a simple algorithm that selects a strategy at each time in a given set of multiple strategies for stochastic multiarmed bandit problems, thereby playing the arm by the chosen strategy at each time. The algorithm follows the idea
Hyeong Soo Chang, Sanghee Choe
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Estimation of Gini Index within Pre-Specified Error Bound
Econometrics, 2016 Gini index is a widely used measure of economic inequality. This article develops a theory and methodology for constructing a confidence interval for Gini index with a specified confidence coefficient and a specified width without assuming any specific ...
Bhargab Chattopadhyay +1 more
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Inflectional morphology in optimality theory [PDF]
, 2007 P158.42 Optimality theory (Linguistics) -- Grammar, Comparative and general ...
Zheng, X., Xu, Zheng
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, 2021 Optimality of syntactic dependency distances Preprocessed data and code for the article Optimality of Syntactic Dependency Distances. This is the first release of the Optimality of Syntactic Dependency Distances repository at Github.com. The sole purpose
Carlos Gómez-Rodríguez +2 more
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