Zobrazeno 1 - 10
of 5 970
pro vyhledávání: '"A. Clavier"'
The support of artificial intelligence (AI) based decision-making is a key element in future 6G networks, where the concept of native AI will be introduced. Moreover, AI is widely employed in different critical applications such as autonomous driving
Externí odkaz:
http://arxiv.org/abs/2407.07009
Robust reinforcement learning is the problem of learning control policies that provide optimal worst-case performance against a span of adversarial environments. It is a crucial ingredient for deploying algorithms in real-world scenarios with prevale
Externí odkaz:
http://arxiv.org/abs/2406.08406
Robust reinforcement learning is essential for deploying reinforcement learning algorithms in real-world scenarios where environmental uncertainty predominates. Traditional robust reinforcement learning often depends on rectangularity assumptions, wh
Externí odkaz:
http://arxiv.org/abs/2406.08395
Many classic Reinforcement Learning (RL) algorithms rely on a Bellman operator, which involves an expectation over the next states, leading to the concept of bootstrapping. To introduce a form of pessimism, we propose to replace this expectation with
Externí odkaz:
http://arxiv.org/abs/2406.04081
State-of-the-art techniques in generative artificial intelligence are employed for the first time to construct a surrogate model for plasma turbulence that enables long time transport simulations. The proposed GAIT (Generative Artificial Intelligence
Externí odkaz:
http://arxiv.org/abs/2405.13232
In Spectrum cartography (SC), the generation of exposure maps for radio frequency electromagnetic fields (RF-EMF) spans dimensions of frequency, space, and time, which relies on a sparse collection of sensor data, posing a challenging ill-posed inver
Externí odkaz:
http://arxiv.org/abs/2405.03384
Publikováno v:
DCAS 2023 - IEEE 16th Dallas Circuits and Systems Conference, Apr 2023, Denton, United States. pp.1-6
Energy consumption remains the main limiting factors in many IoT applications. In particular, micro-controllers consume far too much power. In order to overcome this problem, new circuit designs have been proposed and the use of spiking neurons and a
Externí odkaz:
http://arxiv.org/abs/2311.10411
Autor:
Mathilde Ramier, Thomas Clavier, Etienne Allard, Maud Lambert, Bertrand Dureuil, Vincent Compère
Publikováno v:
BMC Anesthesiology, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Working long consecutive hours’ is common for anaesthesia and critical care physicians. It is associated with impaired medical reasoning’s performance of anaesthesiology and serious medical errors. However, no study has yet in
Externí odkaz:
https://doaj.org/article/075e93080da94a99b837586d7abbda38
In this paper, we introduce and analyze a variant of the Thompson sampling (TS) algorithm for contextual bandits. At each round, traditional TS requires samples from the current posterior distribution, which is usually intractable. To circumvent this
Externí odkaz:
http://arxiv.org/abs/2307.10167
Research into 6G networks has been initiated to support a variety of critical artificial intelligence (AI) assisted applications such as autonomous driving. In such applications, AI-based decisions should be performed in a real-time manner. These dec
Externí odkaz:
http://arxiv.org/abs/2307.00952