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of 3 971
pro vyhledávání: '"Tree-search"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Control of the geographic location of high-altitude balloons has been desired for decades due to the cost and simplicity of the systems. These balloon systems rely on variations in wind direction with altitude so that when a balloon changes
Externí odkaz:
https://doaj.org/article/171b0e4d88154c1c9dda0dcbe3d69118
Publikováno v:
Journal of Infrastructure Preservation and Resilience, Vol 5, Iss 1, Pp 1-20 (2024)
Abstract We propose a novel Deep Reinforcement Learning (DRL) architecture for sequential decision processes under uncertainty, as encountered in inspection and maintenance (I &M) planning. Unlike other DRL algorithms for (I &M) planning, the propose
Externí odkaz:
https://doaj.org/article/6ff30bc17efd40a7af2ccea8b2bc56c9
Publikováno v:
CLEI Electronic Journal, Vol 27, Iss 3 (2024)
The Stochastic Shortest Path (SSP) is a formalism widely used for modeling goal-oriented probabilistic planning problems. When dead ends, which are states from which goal states cannot be reached, are present in the problem and cannot be avoided, the
Externí odkaz:
https://doaj.org/article/338c82f1e9ce4652bfb3e38c26b84ad5
Autor:
Shayesteh Arasti, Siavash Mirarab
Publikováno v:
Algorithms for Molecular Biology, Vol 19, Iss 1, Pp 1-18 (2024)
Abstract Gene trees can be different from the species tree due to biological processes and inference errors. One way to obtain a species tree is to find one that maximizes some measure of similarity to a set of gene trees. The number of shared quarte
Externí odkaz:
https://doaj.org/article/3feba4a3b02d49ada080b265d467bd92
Publikováno v:
Leida xuebao, Vol 13, Iss 1, Pp 253-269 (2024)
Appropriate and effective resource scheduling is the key to achieving the best performance for a space-based radar. Considering the resource scheduling problem of multi-target tracking in a space-based radar system, we establish a cost function that
Externí odkaz:
https://doaj.org/article/27f7a575de0f4f72a41b374d228120e7
Publikováno v:
IEEE Access, Vol 12, Pp 171055-171065 (2024)
Quadratic Unconstrained Binary Optimization (QUBO) is a versatile approach used to represent a wide range of NP-hard Combinatorial Optimization (CO) problems through binary variables. The transformation of QUBO to an Ising Hamiltonian is recognized a
Externí odkaz:
https://doaj.org/article/4a5f6a7a3da242a5b01c397b21975fe7
Publikováno v:
IEEE Access, Vol 12, Pp 67246-67255 (2024)
The mainstream Go AI algorithms represented by AlphaZero and KataGo suffer from low-quality samples in the early training period and low exploration efficiency when performing traditional Monte Carlo Tree Search (MCTS). For the shortcomings mentioned
Externí odkaz:
https://doaj.org/article/f9cc070602d845d08e48ed9781481348
Publikováno v:
IEEE Access, Vol 12, Pp 56400-56413 (2024)
Agents have been applied to a wide variety of fields, including power systems and spacecraft. Belief-Desire-Intention (BDI) agents, as one of the most widely used and researched architectures, have the advantage of being able to pursue multiple goals
Externí odkaz:
https://doaj.org/article/0ccda607946a48f2b79c779616106e89
Autor:
Ronghui Lin, Vytautas Valuckas, Thi Thu Ha Do, Arash Nemati, Arseniy I. Kuznetsov, Jinghua Teng, Son Tung Ha
Publikováno v:
Advanced Science, Vol 11, Iss 13, Pp n/a-n/a (2024)
Abstract Freeform nanostructures have the potential to support complex resonances and their interactions, which are crucial for achieving desired spectral responses. However, the design optimization of such structures is nontrivial and computationall
Externí odkaz:
https://doaj.org/article/65715dba58174dc8b92cf4a2e52fbb2d
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