Results 21 to 30 of about 1,298,312 (212)
On the Role of Models in Learning Control: Actor-Critic Iterative Learning Control
IFAC-PapersOnLine, 2020 6 pages, 4 figures, 21st IFAC World Congress ...
Poot, M.M., Portegies, Jim, Oomen, Tom
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Metacognitive Control and Optimal Learning [PDF]
Cognitive Science, 2006 AbstractThe notion of optimality is often invoked informally in the literature on metacognitive control. We provide a precise formulation of the optimization problem and show that optimal time allocation strategies depend critically on certain characteristics of the learning environment, such as the extent of time pressure, and the nature of the uptake
Lisa K. Son, Rajiv Sethi
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Robust Tracking Control of Aerial Robots Via a Simple Learning Strategy-Based Feedback Linearization
IEEE Access, 2020 To facilitate accurate tracking in unknown/uncertain environments, this paper proposes a simple learning (SL) strategy for feedback linearization control (FLC) of aerial robots subject to uncertainties.
Mohit Mehndiratta +3 more
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CT-DQN: Control-Tutored Deep Reinforcement Learning [PDF]
, 2023 One of the major challenges in Deep Reinforcement Learning for control is the need for extensive training to learn a policy. Motivated by this, we present the design of the Control-Tutored Deep QNetworks (CT-DQN) algorithm, a Deep Reinforcement Learning ...
Francesco De Lellis +4 more
core
IEEE Access, 2021 COVID-19 has not affected all countries equally: developing countries have been more disadvantaged by the pandemic. Regarding global development, the COVID-19 pandemic has forced a step back in the path to attaining the Sustainable Development Goals ...
Ascension Lopez-Vargas +3 more
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IEEE Access, 2022 Snake-like modular robots (MRs) are highly flexible, but, to traverse a challenging terrain or explore a region of interest, MR needs to attain efficient locomotion depending on a tradeoff between objectives like forward velocity and power consumption of
Akash Singh +3 more
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On the convergence of iterative learning control [PDF]
Automatica, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohammad Mahdi Ghazaei Ardakani +2 more
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On the Development of Learning Control for Robotic Manipulators
Robotics, 2017 Learning control for robotic manipulators has been developed over the past decade and to the best of the authors’ knowledge, it is still in its infant development stage; the authors believe that it will become one of the most promising directions in the ...
Dan Zhang, Bin Wei
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Scientific Reports, 2022 Postural sway and eye movements are potential biomarkers for dementia screening. Assessing the two movements comprehensively could improve the understanding of complicated syndrome for more accurate screening.
Yu Imaoka +3 more
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Iot application for energy poverty detection based on thermal comfort monitoring
Heliyon, 2023 The development of a datalogger for identifying Energy Poverty (EP) using thermal comfort monitoring is described in this work. There is not a uniform definition of EP, and no global recommendations indicating the thermal comfort characteristics that ...
Ascensión López-Vargas +1 more
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