Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Kræmer, Frank Alexander"'
Publikováno v:
Sensors, 21(23) 2021)
Data-driven forecasts of air quality have recently achieved more accurate short-term predictions. Despite their success, most of the current data-driven solutions lack proper quantifications of model uncertainty that communicate how much to trust the
Externí odkaz:
http://arxiv.org/abs/2112.02622
Publikováno v:
In Future Generation Computer Systems July 2024 156:242-253
Publikováno v:
10th International Conference on the Internet of Things (IoT20), October 6-9, 2020, Malmo, Sweden
In order to make better use of deep reinforcement learning in the creation of sensing policies for resource-constrained IoT devices, we present and study a novel reward function based on the Fisher information value. This reward function enables IoT
Externí odkaz:
http://arxiv.org/abs/2010.04112
Publikováno v:
IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO) 2019 Jun 16 (pp. 43-51)
Reinforcement learning (RL) is capable of managing wireless, energy-harvesting IoT nodes by solving the problem of autonomous management in non-stationary, resource-constrained settings. We show that the state-of-the-art policy-gradient approaches to
Externí odkaz:
http://arxiv.org/abs/1905.04181
Publikováno v:
In Future Generation Computer Systems May 2023 142:4-13
Autor:
Gómez-Carmona, Oihane, Casado-Mansilla, Diego, Kraemer, Frank Alexander, López-de-Ipiña, Diego, García-Zubia, Javier
Publikováno v:
In Future Generation Computer Systems November 2020 112:670-683