Zobrazeno 1 - 10
of 1 889
pro vyhledávání: '"Barlier, A"'
Publikováno v:
AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems
This paper addresses the problem of integrating local guide policies into a Reinforcement Learning agent. For this, we show how to adapt existing algorithms to this setting before introducing a novel algorithm based on a noisy policy-switching proced
Externí odkaz:
http://arxiv.org/abs/2402.13930
Autor:
Daoudi, Paul, Mavkov, Bojan, Robu, Bogdan, Prieur, Christophe, Witrant, Emmanuel, Barlier, Merwan, Santos, Ludovic Dos
Publikováno v:
2024 IEEE Conference on Control Technology and Applications (CCTA)
This paper presents a learning-based control strategy for non-linear throttle valves with an asymmetric hysteresis, leading to a near-optimal controller without requiring any prior knowledge about the environment. We start with a carefully tuned Prop
Externí odkaz:
http://arxiv.org/abs/2402.13654
We address private deep offline reinforcement learning (RL), where the goal is to train a policy on standard control tasks that is differentially private (DP) with respect to individual trajectories in the dataset. To achieve this, we introduce PriMO
Externí odkaz:
http://arxiv.org/abs/2402.05525
Publikováno v:
Proceedings of the the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)
Off-dynamics Reinforcement Learning (ODRL) seeks to transfer a policy from a source environment to a target environment characterized by distinct yet similar dynamics. In this context, traditional RL agents depend excessively on the dynamics of the s
Externí odkaz:
http://arxiv.org/abs/2312.15474
We introduce the safe best-arm identification framework with linear feedback, where the agent is subject to some stage-wise safety constraint that linearly depends on an unknown parameter vector. The agent must take actions in a conservative way so a
Externí odkaz:
http://arxiv.org/abs/2309.08709
We address in this paper a particular instance of the multi-agent linear stochastic bandit problem, called clustered multi-agent linear bandits. In this setting, we propose a novel algorithm leveraging an efficient collaboration between the agents in
Externí odkaz:
http://arxiv.org/abs/2309.08710
Autor:
Thi Thom Mac, Teddy Fauquier, Nicolas Jullien, Pauline Romanet, Heather Etchevers, Anne Barlier, Frederic Castinetti, Thierry Brue
Publikováno v:
eLife, Vol 12 (2024)
Deficient Anterior pituitary with common Variable Immune Deficiency (DAVID) syndrome results from NFKB2 heterozygous mutations, causing adrenocorticotropic hormone deficiency (ACTHD) and primary hypogammaglobulinemia. While NFKB signaling plays a cru
Externí odkaz:
https://doaj.org/article/8c25604daae64966bbe1a5703a6ffb2a
Autor:
Jean-François Toussaint, Martine Duclos, Juliana da Silva Antero, Tom Chassard, Marine Dupuit, Alice Lafitte, Kilian Barlier, Nolwenn Badier
Publikováno v:
BMJ Open Sport & Exercise Medicine, Vol 10, Iss 4 (2024)
Objectives There is a lack of data on salivary sex hormones across the menstrual cycle (MC) or hormonal contraceptive (HC) cycle of elite athletes. We aimed to provide original data on salivary sex hormones (17β-estradiol, progesterone and free test
Externí odkaz:
https://doaj.org/article/00b0c1561ce34897ac40c362af14f77e
Autor:
Jung, Sascha1 (AUTHOR), Barlier, Céline2 (AUTHOR), Perez, Aitor Martinez1 (AUTHOR), Sol, Antonio del1,2,3 (AUTHOR) antonio.delsol@uni.lu
Publikováno v:
Briefings in Bioinformatics. Nov2024, Vol. 25 Issue 6, p1-9. 9p.
Autor:
Pauline Romanet, Théo Charnay, Nicolas Sahakian, Thomas Cuny, Frédéric Castinetti, Anne Barlier
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
Multiple endocrine neoplasia (MEN) is a group of rare genetic diseases characterized by the occurrence of multiple tumors of the endocrine system in the same patient. The first MEN described was MEN1, followed by MEN2A, and MEN2B. The identification
Externí odkaz:
https://doaj.org/article/1277a13189b349e98386e7e84811419a