Zobrazeno 1 - 10
of 1 909
pro vyhledávání: '"P. Sigaud"'
Publikováno v:
Horizonte, Vol 18, Iss 56 (2020)
Uma assembleia com as dimensões do Concílio Vaticano II necessariamente aglutinaria diversificadas correntes e perspectivas. No episcopado brasileiro a heterogeneidade também foi uma marca. Considerando tais dados, este artigo foi escrito com dois
Externí odkaz:
https://doaj.org/article/a100c8a0428c4e8ca62c326ffa13c8ed
Autor:
Aissi, Mohamed Salim, Romac, Clement, Carta, Thomas, Lamprier, Sylvain, Oudeyer, Pierre-Yves, Sigaud, Olivier, Soulier, Laure, Thome, Nicolas
Reinforcement learning (RL) is a promising approach for aligning large language models (LLMs) knowledge with sequential decision-making tasks. However, few studies have thoroughly investigated the impact on LLM agents capabilities of fine-tuning them
Externí odkaz:
http://arxiv.org/abs/2410.19920
Autor:
Gaven, Loris, Romac, Clement, Carta, Thomas, Lamprier, Sylvain, Sigaud, Olivier, Oudeyer, Pierre-Yves
The past years have seen Large Language Models (LLMs) strive not only as generative models but also as agents solving textual sequential decision-making tasks. When facing complex environments where their zero-shot abilities are insufficient, recent
Externí odkaz:
http://arxiv.org/abs/2410.12481
Vision-language models (VLMs) have tremendous potential for grounding language, and thus enabling language-conditioned agents (LCAs) to perform diverse tasks specified with text. This has motivated the study of LCAs based on reinforcement learning (R
Externí odkaz:
http://arxiv.org/abs/2409.16024
Under the ACA, the federal government paid a substantially larger share of medical costs of newly eligible Medicaid enrollees than previously eligible ones. States could save up to 100% of their per-enrollee costs by reclassifying original enrollees
Externí odkaz:
http://arxiv.org/abs/2407.07217
Applying reinforcement learning (RL) to real-world applications requires addressing a trade-off between asymptotic performance, sample efficiency, and inference time. In this work, we demonstrate how to address this triple challenge by leveraging par
Externí odkaz:
http://arxiv.org/abs/2407.02217
Autor:
Cristina Meneguello
Publikováno v:
História, Vol 33, Iss 1, Pp 27-49 (2014)
Até o presente momento, nenhuma biografia de fôlego foi produzida sobre Eugênio de Proença Sigaud. Em portais especializados em arte ou em dicionários de pintores, biografias concisas de uma lauda repetem as mesmas informações à exaustão. Es
Externí odkaz:
https://doaj.org/article/184082c8e64b4effbdc0d7bd044ea0d9
Certificate-of-need (CON) laws require that healthcare providers receive approval from a state board before offering additional services in a given community. Proponents of CON laws claim that these laws are needed to prevent the oversupply of health
Externí odkaz:
http://arxiv.org/abs/2405.08168
Demonstrations are commonly used to speed up the learning process of Deep Reinforcement Learning algorithms. To cope with the difficulty of accessing multiple demonstrations, some algorithms have been developed to learn from a single demonstration. I
Externí odkaz:
http://arxiv.org/abs/2402.09355
Publikováno v:
Revista Latinoamericana de Psicopatologia Fundamental, Vol 11, Iss 4 suppl, Pp 762-778 (2008)
Este artigo discute dois relevantes estudos sobre as doenças no Brasil do século XIX, escritos por Joseph François Xavier Sigaud e por Carl Friedrich Philipp von Martius. Ambos tratam da nostalgia dos escravos, a enfermidade chamada de banzo.
Externí odkaz:
https://doaj.org/article/6cb8233ed79f49bb9622c59f23d3d862