[PDF][PDF] The effect of automation on human factors in aviation
JP Brown - The Journal of Instrumentation, Automation and …, 2016 - researchgate.net
This paper looks to examine the effect of modern day automation on the human machine by
reviewing literature spanning over three decades. Using the human factors model SCHELL …
reviewing literature spanning over three decades. Using the human factors model SCHELL …
[PDF][PDF] Transfer learning method using ontology for heterogeneous multi-agent reinforcement learning
This paper presents a framework, called the knowl-edge co-creation framework (KCF), for
heterogeneous multiagent robot systems that use a transfer learning method. A multiagent …
heterogeneous multiagent robot systems that use a transfer learning method. A multiagent …
Several Special Functions In Fractals And Applications Of The Fractal In Machine Learning
J Wang, L Cao, X Chen, W Tang, Z Xu - Fractals, 2022 - World Scientific
The focus of this paper is to study unbounded variation functions from the perspective of
Hölder conditions. Three special unbounded variation functions have been constructed. The …
Hölder conditions. Three special unbounded variation functions have been constructed. The …
General Proof Of Convergence Of The Nash-Q-Learning Algorithm
J Wang, L Cao, X Chen, J Lai - Fractals, 2022 - World Scientific
In this paper, the convergence of the Nash-Q-Learning algorithm will be studied mainly. In
the previous proof of convergence, each stage of the game must have a global optimal point …
the previous proof of convergence, each stage of the game must have a global optimal point …
Knowledge Co-creation Framework: Novel Transfer Learning Method in Heterogeneous Multi-agent Systems
This paper presents a framework, called the knowledge co-creation framework (KCF), for the
heterogeneous multi-robot transfer learning method with utilization of cloud-computing …
heterogeneous multi-robot transfer learning method with utilization of cloud-computing …
Automatic Convergence Estimation by Utilizing Fractal Dimensional Analysis for Reinforcement Learning
The electron density and temperature probe (EDTP) was proposed by Oyama and others
instead of a Langmuir probe that is the conventional measurement tool of an ionosphere …
instead of a Langmuir probe that is the conventional measurement tool of an ionosphere …
ヘテロジーニアスな複数台自律エージェントによる階層的転移学習
河野仁, 村田雄太, 神村明哉, 富田康治… - 計測自動制御学会論文 …, 2015 - jstage.jst.go.jp
抄録 This paper presents a framework of the hierarchical transfer learning (HTL) for a
heterogeneous multi-robot transfer learning method utilizing of cloud-computing resources …
heterogeneous multi-robot transfer learning method utilizing of cloud-computing resources …
1A1-L02 知識の抽象化と階層化による複数台自律エージェントの階層的転移学習とその効果(進化・学習とロボティクス)
河野仁, 村田雄太, 神村明哉, 富田康治… - … 講演会講演概要集2014, 2014 - jstage.jst.go.jp
抄録 In recent years, a multi-agent robot system (MARS) utilizing reinforcement learning and
transfer learning has been deployed in real-world situations. Autonomous agents of MARS …
transfer learning has been deployed in real-world situations. Autonomous agents of MARS …
1A1-K05 フラクタル次元解析を用いた強化学習の収束推定法の開発(進化・学習とロボティクス)
村田雄太, 河野仁, 神村明哉, 富田康治… - … 講演会講演概要集2014, 2014 - jstage.jst.go.jp
抄録 This paper describes a convergence estimation method and learning termination
method for reinforcement learning in dynamic environment. In recent years, multi-robot …
method for reinforcement learning in dynamic environment. In recent years, multi-robot …
[引用][C] The fractal function approximation and its application to aerodynamic modeling
J Cui, Z Xu, W Qian, L He, B Li, H Chen - Fractals, 2024 - World Scientific
The fractal function approximation is an important branch of fractal theory. Compared with
the ordinary function approximation, its advantage is that it can not only improve the …
the ordinary function approximation, its advantage is that it can not only improve the …