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pro vyhledávání: '"Bagatella, P."'
The combination of behavioural cloning and neural networks has driven significant progress in robotic manipulation. As these algorithms may require a large number of demonstrations for each task of interest, they remain fundamentally inefficient in c
Externí odkaz:
http://arxiv.org/abs/2411.04056
Zero-shot imitation learning algorithms hold the promise of reproducing unseen behavior from as little as a single demonstration at test time. Existing practical approaches view the expert demonstration as a sequence of goals, enabling imitation with
Externí odkaz:
http://arxiv.org/abs/2410.08751
Pre-trained generalist policies are rapidly gaining relevance in robot learning due to their promise of fast adaptation to novel, in-domain tasks. This adaptation often relies on collecting new demonstrations for a specific task of interest and apply
Externí odkaz:
http://arxiv.org/abs/2410.05026
Linear temporal logic (LTL) is a powerful language for task specification in reinforcement learning, as it allows describing objectives beyond the expressivity of conventional discounted return formulations. Nonetheless, recent works have shown that
Externí odkaz:
http://arxiv.org/abs/2408.09495
Offline data are both valuable and practical resources for teaching robots complex behaviors. Ideally, learning agents should not be constrained by the scarcity of available demonstrations, but rather generalize beyond the training distribution. Howe
Externí odkaz:
http://arxiv.org/abs/2405.18917
Real-world robotic manipulation tasks remain an elusive challenge, since they involve both fine-grained environment interaction, as well as the ability to plan for long-horizon goals. Although deep reinforcement learning (RL) methods have shown encou
Externí odkaz:
http://arxiv.org/abs/2303.09628
Efficient exploration is a crucial challenge in deep reinforcement learning. Several methods, such as behavioral priors, are able to leverage offline data in order to efficiently accelerate reinforcement learning on complex tasks. However, if the tas
Externí odkaz:
http://arxiv.org/abs/2205.13528
The ability to form complex plans based on raw visual input is a litmus test for current capabilities of artificial intelligence, as it requires a seamless combination of visual processing and abstract algorithmic execution, two traditionally separat
Externí odkaz:
http://arxiv.org/abs/2110.06149
Autor:
Jennifer S Eiermann, Laureen M Peters, Stefano Bagatella, Jana Milenkovic, Stéphanie OA Jähne, Juliette B Burg-Personnaz, Simone Schuller, Alejandra Carranza Valencia
Publikováno v:
Journal of Feline Medicine and Surgery Open Reports, Vol 10 (2024)
Case summary A 7-year-old domestic shorthair cat was presented for periuria, apathy, fever, inappetence, diarrhoea and vomiting. A complete blood count and biochemistry analysis revealed severe thrombocytopenia, severe azotaemia, moderate panhypoprot
Externí odkaz:
https://doaj.org/article/aaffcfb2bb1d4e318385501ad9907dc2
Autor:
Camille François, Clément Paillusseau, Stefano Bagatella, Francesco Origgi, Lionel Schilliger
Publikováno v:
Frontiers in Veterinary Science, Vol 10 (2023)
This article describes the diagnostic, treatment and attempted characterization of a neoplasia of undetermined origin in a Asia minor spur-thighed tortoise. A 21-year-old male Asia minor spur-thighed tortoise (Testudo graeca ibera) was admitted for a
Externí odkaz:
https://doaj.org/article/e71bb0d3486c4b0eb956ef1d0c355c59