C4AI - Perspectives in AI Seminar: "Deep Learning for Automated Planning" - Dr. Felipe W. Trevizan - 20/09/2023 16h (Brasil) Online
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Sep 18, 2023, 10:41:56 PM9/18/23
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Colegas, pesquisadores(as) e alunos(as) da área de Inteligência Artificial e do C4AI:
> Favor distribuir este anúncio aos possíveis interessados.
C4AI OnLine Seminar announcement and infos below (Seminar and Infos below in English):
https://c4ai.inova.usp.br/c4ai-seminar-perspectives-in-ai-dr-felipe-w-trevizan-sept-20th-2023-16h-brazil-time/
O Centro de I.A. da USP (C4AI) está organizando mais um "C4AI Perspectives in AI Seminar".
O seminário é aberto/gratuito/online e será nesta próxima quarta-feira 20/09/23 às 16h-17h30 BRT (Hora do Brazil - BRT) e 3pm EST.
Detalhes sobre o seminário na descrição da transmissão do Youtube ou no link abaixo:
--
> Favor distribuir este anúncio aos possíveis interessados.
C4AI OnLine Seminar announcement and infos below (Seminar and Infos below in English):
https://c4ai.inova.usp.br/c4ai-seminar-perspectives-in-ai-dr-felipe-w-trevizan-sept-20th-2023-16h-brazil-time/
O Centro de I.A. da USP (C4AI) está organizando mais um "C4AI Perspectives in AI Seminar".
O seminário é aberto/gratuito/online e será nesta próxima quarta-feira 20/09/23 às 16h-17h30 BRT (Hora do Brazil - BRT) e 3pm EST.
Apresentado pelo Prof. Dr. Felipe W. Trevizan (Senior Lecturer, School of Computing. Australian National University – ANU)
Título: "Deep Learning for Automated Planning" (Seminar in English - Theme: AI, ML, Planning)
Abstract: Deep learning has become the method of choice for tasks related to perception and natural language processing. Yet, it remains an open question as to how this breakthrough can extend to tasks typically seen as requiring reasoning, such as planning. In this talk, I will introduce neural network architectures that leverage the structure of planning problems, as captured by traditional planning representations, to learn generalized policies and heuristic estimators with minimal training time and data. The obtained policies can adapt to planning problems with different initial states, goals, objects, and sizes. Furthermore, the learnt heuristics generalize to problems from different planning domains. While there are significant limitations, these architectures have showcased remarkable performance on select planning competition benchmark domains. I will conclude by offering a glimpse into my ongoing work in this area.
Presented by Prof. Dr. Felipe W. Trevizan - https://felipe.trevizan.org/
Adicione em sua agenda! (Add to google calendar):
Título: "Deep Learning for Automated Planning" (Seminar in English - Theme: AI, ML, Planning)
Abstract: Deep learning has become the method of choice for tasks related to perception and natural language processing. Yet, it remains an open question as to how this breakthrough can extend to tasks typically seen as requiring reasoning, such as planning. In this talk, I will introduce neural network architectures that leverage the structure of planning problems, as captured by traditional planning representations, to learn generalized policies and heuristic estimators with minimal training time and data. The obtained policies can adapt to planning problems with different initial states, goals, objects, and sizes. Furthermore, the learnt heuristics generalize to problems from different planning domains. While there are significant limitations, these architectures have showcased remarkable performance on select planning competition benchmark domains. I will conclude by offering a glimpse into my ongoing work in this area.
Presented by Prof. Dr. Felipe W. Trevizan - https://felipe.trevizan.org/
Adicione em sua agenda! (Add to google calendar):
https://calendar.google.com/calendar/event?action=TEMPLATE&tmeid=MmZjNG5ncXJhYjhxZWlnMDhuMzJvdG51MzcgYzRhaUB1c3AuYnI&tmsrc=c4ai%40usp.br
O seminário será transmitido de forma ABERTA, LIVRE/GRATUITA e ONLINE pelo
youtube no Canal @C4AIUSP !
Transmissão remota e aberta pelo link do youtube:
O seminário será transmitido de forma ABERTA, LIVRE/GRATUITA e ONLINE pelo
youtube no Canal @C4AIUSP !
Transmissão remota e aberta pelo link do youtube:
Detalhes sobre o seminário na descrição da transmissão do Youtube ou no link abaixo:
https://c4ai.inova.usp.br/c4ai-seminar-perspectives-in-ai-dr-felipe-w-trevizan-sept-20th-2023-16h-brazil-time/
Contamos com sua presença!
Atenciosamente,
C4AI Divulgação e Eventos - https://linktr.ee/c4aiusp
Contamos com sua presença!
Atenciosamente,
C4AI Divulgação e Eventos - https://linktr.ee/c4aiusp
#C4AI #Artificialintelligence #AIResearch #MachineLearning #Planning
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c4ai-uns...@usp.br
>> Contato com a Equipe de Comunicação e Difusão (Outreach) do C4AI:
c4ai-o...@usp.br
C4AI Subscribe: c4ai-su...@usp.br
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