Zobrazeno 1 - 10
of 1 323
pro vyhledávání: '"P. Bottero"'
Optimal decision-making under partial observability requires reasoning about the uncertainty of the environment's hidden state. However, most reinforcement learning architectures handle partial observability with sequence models that have no internal
Externí odkaz:
http://arxiv.org/abs/2409.16824
We consider a sequential decision making task, where the goal is to optimize an unknown function without evaluating parameters that violate an a~priori unknown (safety) constraint. A common approach is to place a Gaussian process prior on the unknown
Externí odkaz:
http://arxiv.org/abs/2402.15347
We consider the problem of quantifying uncertainty over expected cumulative rewards in model-based reinforcement learning. In particular, we focus on characterizing the variance over values induced by a distribution over Markov decision processes (MD
Externí odkaz:
http://arxiv.org/abs/2312.04386
Quantifying uncertainty about a policy's long-term performance is important to solve sequential decision-making tasks. We study the problem from a model-based Bayesian reinforcement learning perspective, where the goal is to learn the posterior distr
Externí odkaz:
http://arxiv.org/abs/2308.06590
Autor:
Caterina Froiio, Laura Torselli, Luca Bottero, Nirvana Maroni, Dario Palmisano, Pasquale Chiacchio, Cristian Giuseppe Monaco, Laura Palvarini, Giovanni Pompili, Andrea Pisani Ceretti
Publikováno v:
Laparoscopic, Endoscopic and Robotic Surgery, Vol 7, Iss 4, Pp 186-189 (2024)
Externí odkaz:
https://doaj.org/article/bbe14021edeb44989d879e8e4402ee9b
We consider the problem of quantifying uncertainty over expected cumulative rewards in model-based reinforcement learning. In particular, we focus on characterizing the variance over values induced by a distribution over MDPs. Previous work upper bou
Externí odkaz:
http://arxiv.org/abs/2302.12526
We consider a sequential decision making task where we are not allowed to evaluate parameters that violate an a priori unknown (safety) constraint. A common approach is to place a Gaussian process prior on the unknown constraint and allow evaluations
Externí odkaz:
http://arxiv.org/abs/2212.04914
Autor:
Federica Cagnasso, Jan S. Suchodolski, Antonio Borrelli, Franca Borella, Enrico Bottero, Elena Benvenuti, Riccardo Ferriani, M. Katherine Tolbert, Chih-Chun Chen, Paula R. Giaretta, Paola Gianella
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
IntroductionCanine protein-losing enteropathy (PLE) is a syndrome characterized by gastrointestinal loss of proteins. While fecal microbiome and metabolome perturbations have been reported in dogs with chronic enteropathy, they have not been widely s
Externí odkaz:
https://doaj.org/article/2172eb94cc5d4409ae516a915073d8f8
Publikováno v:
Journal of Feline Medicine and Surgery Open Reports, Vol 10 (2024)
Case summary An 11-year-old castrated male domestic shorthair cat presented with chronic regurgitation and weight loss. Despite a 2-month history of weight loss, regurgitation intensified over 4 weeks, occurring with every food intake, even on a semi
Externí odkaz:
https://doaj.org/article/509a1e5c7eb9476b975158085d7a3166
Publikováno v:
TeMA: Journal of Land Use, Mobility and Environment, Pp 137-153 (2024)
In order to achieve the ambitious CO2 emission reduction targets, set by the Sustainable Development Goals, it is crucial to act on cities. Indeed, cities are responsible for 67% of the world's primary energy consumption and about 70% of energy-relat
Externí odkaz:
https://doaj.org/article/667eee7b374f4477bafab20fdbf25ec3