A multi-agent reinforcement learning algorithm with the action preference selection strategy for massive target cooperative search mission planning
X Wang, X Fang - Expert Systems with Applications, 2023 - Elsevier
Target search is widely applied in military reconnaissance, geological exploration and
personnel search and rescue. Most target search algorithms perform well in single target …
personnel search and rescue. Most target search algorithms perform well in single target …
Evolutionary reinforcement learning for solving a transportation problem
O Soltani, SB Layeb - International Conference on Intelligent Computing & …, 2022 - Springer
Abstract Deep Reinforcement Learning (DRL) has shown great success in some fields such
as image recognition and automation, but its application in logistics and transportation such …
as image recognition and automation, but its application in logistics and transportation such …
Solving the Pallet Loading Problem with Deep Reinforcement Learning
SB Layeb, O Omri - Handbook of Formal Optimization, 2024 - Springer
Because of its complexity and prominence in the logistic field, the Pallet Loading Problem
(PLP) has caught the attention of academics and practitioners as one of the most …
(PLP) has caught the attention of academics and practitioners as one of the most …
Dynamic entrainment: A deep learning and data-driven process approach for synchronization in the Hodgkin–Huxley model
Resonance and synchronized rhythm are significant phenomena observed in dynamical
systems in nature, particularly in biological contexts. These phenomena can either enhance …
systems in nature, particularly in biological contexts. These phenomena can either enhance …
AMUSE: Adaptive Model Updating using a Simulated Environment
Prediction models frequently face the challenge of concept drift, in which the underlying data
distribution changes over time, weakening performance. Examples can include models …
distribution changes over time, weakening performance. Examples can include models …
[PDF][PDF] Software development based on artificial neural networks for fitness club
VS Tynchenko, VV Bukhtoyarov, AN Bocharov… - 2022 - ceur-ws.org
An artificial neural network is a system of simple processors (artificial neurons) that are
connected and interact with each other. Programming neural networks means training the …
connected and interact with each other. Programming neural networks means training the …
[HTML][HTML] O Futuro das Avaliações por Meio das Redes Sociais
O objetivo geral da presente pesquisa é discutir as principais inovações em avaliação
psicológica possibilitadas pela existência das redes sociais. Mais especificamente, iremos …
psicológica possibilitadas pela existência das redes sociais. Mais especificamente, iremos …
El Futuro de las Evaluaciones Mediante las Redes Sociales
O Futuro das Avaliações por Meio das Redes Sociais Page 1 437 Avaliação Psicológica,
2022, 21(4), pp. 437-445 Víthor Rosa Franco1 , Ricardo Primi Universidade São Francisco …
2022, 21(4), pp. 437-445 Víthor Rosa Franco1 , Ricardo Primi Universidade São Francisco …
O Futuro das Avaliações por Meio das Redes Sociais.
V Rosa Franco, R Primi - Avaliçãao Psicológica, 2022 - search.ebscohost.com
RESUMO O objetivo geral da presente pesquisa é discutir as principais inovações em
avaliação psicológica possibilitadas pela existência das redes sociais. Mais …
avaliação psicológica possibilitadas pela existência das redes sociais. Mais …
基于深度**化学**的电子政务云动态化任务调度方法.
龙宇杰， 修熙， 黄庆， 黄晓勉， **莹… - … of Computers/Jisuanji …, 2024 - search.ebscohost.com
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CÕ,±²MþÊ. Á> V1Y (actor critic, A2C) xÄ Ñ j~) N AÄ. Uæ, actoryãwj~®[kÓ [\ñ 56} Ô, ñ …
CÕ,±²MþÊ. Á> V1Y (actor critic, A2C) xÄ Ñ j~) N AÄ. Uæ, actoryãwj~®[kÓ [\ñ 56} Ô, ñ …