Zobrazeno 1 - 10
of 14 544
pro vyhledávání: '"Deep Q-learning"'
Autor:
Nievas, Nuria1,2 (AUTHOR) nuria.nievas@eurecat.org, Pagès-Bernaus, Adela2 (AUTHOR), Abio, Albert1 (AUTHOR), Lange, Danillo1 (AUTHOR), Garcia-Llamas, Eduard1 (AUTHOR), Grané, Marc1 (AUTHOR), Pujante, Jaume1 (AUTHOR), Echeverria, Lluís1 (AUTHOR), Bonada, Francesc1 (AUTHOR)
Publikováno v:
International Journal of Production Research. Oct2024, p1-22. 22p. 11 Illustrations.
Mechanical Ventilation (MV) is a critical life-support intervention in intensive care units (ICUs). However, optimal ventilator settings are challenging to determine because of the complexity of balancing patient-specific physiological needs with the
Externí odkaz:
http://arxiv.org/abs/2412.12597
Autor:
Yi, Peini, Cheng, Wenchi, Ju, Zhanyu, Wang, Jingqing, Pan, Jinzhe, Ouyang, Yuehui, Zhang, Wei
With the increasing complexity of Wi-Fi networks and the iterative evolution of 802.11 protocols, the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) protocol faces significant challenges in achieving fair channel access and efficien
Externí odkaz:
http://arxiv.org/abs/2412.10874
Autor:
Arslan, Bartu1 (AUTHOR), Ekren, Banu Yetkin2,3 (AUTHOR) Banu.YetkinEkren@cranfield.ac.uk
Publikováno v:
International Journal of Production Research. Nov2023, Vol. 61 Issue 21, p7353-7366. 14p. 2 Diagrams, 5 Charts, 6 Graphs.
Autor:
Huang, Chester S. J.1 (AUTHOR), Su, Yu-Sheng2,3 (AUTHOR) ccucssu@cs.ccu.edu.tw
Publikováno v:
Applied Artificial Intelligence. 2024, Vol. 38 Issue 1, p1-22. 22p.
Publikováno v:
N\'u\~nez-Molina, C., Fern\'andez-Olivares, J., & P\'erez, R. (2022). Learning to select goals in Automated Planning with Deep-Q Learning. Expert Systems with Applications, 202, 117265
In this work we propose a planning and acting architecture endowed with a module which learns to select subgoals with Deep Q-Learning. This allows us to decrease the load of a planner when faced with scenarios with real-time restrictions. We have tra
Externí odkaz:
http://arxiv.org/abs/2406.14779
Power saving is a main pillar in the operation of wireless communication systems. In this paper, we investigate cloud radio access network (C-RAN) capability to reduce power consumption based on the user equipment (UE) requirement. Aiming to save the
Externí odkaz:
http://arxiv.org/abs/2405.13368
Autor:
M., Adi Surendra Mohanraju ⁎, Lokam, Anjaneyulu
Publikováno v:
In Ad Hoc Networks 2 February 2025 167
Autor:
Plaksin, Anton, Kalev, Vitaly
Robust Reinforcement Learning (RRL) is a promising Reinforcement Learning (RL) paradigm aimed at training robust to uncertainty or disturbances models, making them more efficient for real-world applications. Following this paradigm, uncertainty or di
Externí odkaz:
http://arxiv.org/abs/2405.02044
Publikováno v:
Intelligent and Converged Networks, Vol 5, Iss 3, Pp 207-221 (2024)
Currently, edge Artificial Intelligence (AI) systems have significantly facilitated the functionalities of intelligent devices such as smartphones and smart cars, and supported diverse applications and services. This fundamental supports come from co
Externí odkaz:
https://doaj.org/article/8a75837a71394fd5b4cbb1de8a1646c1