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pro vyhledávání: '"Allievi A"'
Empowerment has the potential to help agents learn large skillsets, but is not yet a scalable solution for training general-purpose agents. Recent empowerment methods learn diverse skillsets by maximizing the mutual information between skills and sta
Externí odkaz:
http://arxiv.org/abs/2410.11155
Autor:
Pan, Chenbin, Yaman, Burhaneddin, Nesti, Tommaso, Mallik, Abhirup, Allievi, Alessandro G, Velipasalar, Senem, Ren, Liu
Publikováno v:
CVPR2024
Autonomous driving is a complex and challenging task that aims at safe motion planning through scene understanding and reasoning. While vision-only autonomous driving methods have recently achieved notable performance, through enhanced scene understa
Externí odkaz:
http://arxiv.org/abs/2401.05577
General purpose agents will require large repertoires of skills. Empowerment -- the maximum mutual information between skills and states -- provides a pathway for learning large collections of distinct skills, but mutual information is difficult to o
Externí odkaz:
http://arxiv.org/abs/2307.02728
Autor:
Felipe Zanette da Silveira, Márcio Antônio Fiori, Tiago Elias Allievi Frizon, Luiz Fernando Belchior Ribeiro, Gustavo Lopes Colpani, Humberto Gracher Riella
Publikováno v:
Materials Research, Vol 27 (2024)
The work evaluated the nucleating effect of nanometric zirconia (Zr-NP), obtained by the green sol-gel synthesis route using Euclea natalensis root extract as a reductant, in the low-density polyethylene (LDPE). The Zr-NP was characterized with x-ray
Externí odkaz:
https://doaj.org/article/c6d7687142be4dabbd273efbf9b9bd45
Autor:
Maria Joana Allievi, Maurício Egídio Cantão, Tiago Palladino Delforno, Luana Mattos de Oliveira Cruz, Daniele Damasceno Silveira, Paulo Belli Filho
Publikováno v:
Revista DAE, Vol 244, Pp 01-14 (2024)
A eficiência dos biofiltros depende da comunidade microbiana, portanto é crucial conhecer a dinâmica estrutural/funcional e identificar os principais gêneros microbianos ligados ao tratamento de gases tóxicos, como o sulfeto de hidrogênio (H2S)
Externí odkaz:
https://doaj.org/article/8858d461b9354c2191de8ba485654638
Autor:
Knox, W. Bradley, Hatgis-Kessell, Stephane, Booth, Serena, Niekum, Scott, Stone, Peter, Allievi, Alessandro
The utility of reinforcement learning is limited by the alignment of reward functions with the interests of human stakeholders. One promising method for alignment is to learn the reward function from human-generated preferences between pairs of traje
Externí odkaz:
http://arxiv.org/abs/2206.02231
Autor:
Straus, Sabrina, Yadavalli, Sai Divya, Allievi, Sara, Sanders, Andrew, Davis, Roger B., Malas, Mahmoud B., Wang, Grace J., Kashyap, Vikram S., Cronenwett, Jack, Motaganahalli, Raghu L., Nolan, Brian, Eldrup-Jorgensen, Jens, Schermerhorn, Marc
Publikováno v:
In Journal of Vascular Surgery November 2024 80(5):1455-1463
Autor:
Mandigers, Tim J., Allievi, Sara, Jabbour, Gabriel, Gomez-Mayorga, Jorge L., Caron, Elisa, Giles, Kristina A., Wang, Grace J., van Herwaarden, Joost A., Trimarchi, Santi, Scali, Salvatore T., Schermerhorn, Marc L.
Publikováno v:
In Journal of Vascular Surgery November 2024 80(5):1425-1436
Autor:
Summers, Steven P., Meccanici, Frederike, Rastogi, Vinamr, Yadavalli, Sai Divya, Allievi, Sara, Wang, Grace J., Patel, Virendra I., Wyers, Mark, Verhagen, Hence J.M., Schermerhorn, Marc L.
Publikováno v:
In Journal of Vascular Surgery October 2024 80(4):1045-1054
Autor:
Gomez-Mayorga, Jorge L., Yadavalli, Sai Divya, Allievi, Sara, Wang, Sophie X., Rastogi, Vinamr, Straus, Sabrina, Mandigers, Tim J., Black, James H., Zettervall, Sara L., Schermerhorn, Marc L.
Publikováno v:
In Journal of Vascular Surgery October 2024 80(4):1015-1024