Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Martin Kubovčík"'
Publikováno v:
Sensors, Vol 24, Iss 6, p 1905 (2024)
A transformer neural network is employed in the present study to predict Q-values in a simulated environment using reinforcement learning techniques. The goal is to teach an agent to navigate and excel in the Flappy Bird game, which became a popular
Externí odkaz:
https://doaj.org/article/a4702b01e2964a6fbe599e3b9b1e4ef5
Publikováno v:
Sensors, Vol 23, Iss 8, p 3985 (2023)
In advanced robot control, reinforcement learning is a common technique used to transform sensor data into signals for actuators, based on feedback from the robot’s environment. However, the feedback or reward is typically sparse, as it is provided
Externí odkaz:
https://doaj.org/article/58223cdf185b491a92c631dbd3af7998
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8852 (2022)
Solar energy is one of the most popular sources of renewable energy today. It is therefore essential to be able to predict solar power generation and adapt energy needs to these predictions. This paper uses the Transformer deep neural network model,
Externí odkaz:
https://doaj.org/article/e300e82a548647fd8f66bd28f7b6b0de
Publikováno v:
Sensors, Vol 22, Iss 5, p 1911 (2022)
Computing devices that can recognize various human activities or movements can be used to assist people in healthcare, sports, or human–robot interaction. Readily available data for this purpose can be obtained from the accelerometer and the gyrosc
Externí odkaz:
https://doaj.org/article/bdf0a3d31941473ba6354c191e16038e
This paper describes the successful application of the Transformer model used in the natural language processing and vision tasks as a means of processing the time series of signals from gyroscope and accelerometer sensors for the classification of h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28384c8ef8de44822bcca25a2dcca800
https://doi.org/10.20944/preprints202202.0111.v1
https://doi.org/10.20944/preprints202202.0111.v1
