Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Leliane Nunes de Barros"'
Publikováno v:
Anais do XIX Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2022).
Os Processos de Decisão de Markov (MDPs) podem ser usados para controlar a propagação de doenças infecciosas e encontrar uma política ótima de controle de vacinação. No entanto, por se tratar de um problema que envolve vidas, é necessário l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9c82954f23c785fa88a216595ea0922
https://doi.org/10.5753/eniac.2022.227062
https://doi.org/10.5753/eniac.2022.227062
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::395a1422a7bfb8724fdb4c6b32e0b9e6
https://doi.org/10.3233/fi-2020-1932
https://doi.org/10.3233/fi-2020-1932
Publikováno v:
Intelligent Systems ISBN: 9783031216886
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b87cc6d7b6b1c579e6d0a65f1e4c61e7
https://doi.org/10.1007/978-3-031-21689-3_3
https://doi.org/10.1007/978-3-031-21689-3_3
Publikováno v:
AAAI
Recent advances in applying deep learning to planning have shown that Deep Reactive Policies (DRPs) can be powerful for fast decision-making in complex environments. However, an important limitation of current DRP-based approaches is either the need
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b164845f142a6e5765ed427eda0dd241
https://doi.org/10.1609/aaai.v33i01.33017530
https://doi.org/10.1609/aaai.v33i01.33017530
Autor:
Daniel Augusto de Melo Moreira, Karina Valdivia Delgado, Denis Deratani Mauá, Leliane Nunes de Barros
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
We tackle the problem of finding optimal policies for Markov Decision Processes, that minimize the probability of the cumulative cost exceeding a given budget. Such task falls under the umbrella of Risk-Sensitive Markov Decision Processes, which opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aac3f9a3378bc2d900b2ddd2c790abd1
Publikováno v:
Intelligent Systems ISBN: 9783030917012
Stochastic Value Gradient (SVG) methods underlie many recent achievements of model-based Reinforcement Learning agents in continuous state-action spaces. Despite their practical significance, many algorithm design choices still lack rigorous theoreti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98e09e25b477df85b9aa7a93bfca5776
https://doi.org/10.1007/978-3-030-91702-9_3
https://doi.org/10.1007/978-3-030-91702-9_3
Autor:
Valdinei Freire, Karina Valdivia Delgado, Milton Condori Fernandez, Leliane Nunes de Barros, Denis Deratani Mauá
Publikováno v:
Intelligent Systems ISBN: 9783030613792
BRACIS (2)
BRACIS (2)
An important and often neglected aspect in probabilistic planning is how to account for different attitudes towards risk in the process. In goal-driven problems, modeled as Shortest Stochastic Path (ssp) problems, risk arises from the uncertainties o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72a5d965e6e23decfd381e75643c8473
https://doi.org/10.1007/978-3-030-61380-8_7
https://doi.org/10.1007/978-3-030-61380-8_7
Publikováno v:
Intelligent Systems ISBN: 9783030613792
BRACIS (2)
BRACIS (2)
Planning problems with continuous state and action spaces are difficult to solve with existing planning techniques, specially when the state transition is defined by a high-dimension non-linear dynamics. Recently, a technique called Planning through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab11d49e6cf235c56c162a2b20e3f547
https://doi.org/10.1007/978-3-030-61380-8_8
https://doi.org/10.1007/978-3-030-61380-8_8
Autor:
Igor Oliveira Borges, Henrique Dias Pastor, Leliane Nunes de Barros, Valdinei Freire, Karina Valdivia Delgado
Publikováno v:
Advances in Soft Computing ISBN: 9783030608835
MICAI (1)
MICAI (1)
A Markov Decision Process (MDP) is commonly used to model a sequential decision-making problem where an agent interacts with an uncertain environment while looking for minimizing the expected cost accumulated along the process. If the process horizon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c80a918aa66dc028b75d56c8d34d6245
https://doi.org/10.1007/978-3-030-60884-2_28
https://doi.org/10.1007/978-3-030-60884-2_28
Autor:
Leliane Nunes de Barros
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USP
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Neste trabalho introduzimos uma maneira original de construir um Sistema Especialista: transformar uma Base de Conhecimento em um programa PROLOG. Enquanto que todos os Sistemas Especialista encontrados na bibliografia são controlados por um \"shell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37d3c02426f02aaac8e8d613397236cd
https://doi.org/10.11606/d.55.2019.tde-25102019-180023
https://doi.org/10.11606/d.55.2019.tde-25102019-180023