Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lidia Bononi Paiva Tomaz"'
Publikováno v:
Artificial Intelligence Review. 56:4255-4293
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eeb4c4b3c268f32a2380509a27417bd
https://doi.org/10.1007/s10462-022-10269-3
https://doi.org/10.1007/s10462-022-10269-3
Publikováno v:
Intelligent Systems ISBN: 9783030613761
BRACIS
BRACIS
Convolutional Neural Network (CNN) is a fundamental tool in Deep Learning and Computer Vision due to its remarkable ability to extract relevant characteristics from raw data, which has been allowing significant advances in image classification tasks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c2008884883d5e28793ab1906bd09ac
https://doi.org/10.1007/978-3-030-61377-8_26
https://doi.org/10.1007/978-3-030-61377-8_26
Publikováno v:
ICMLA
Deep Learning is a state-of-the-art approach for machine learning using real-world or realist data. FIFA is a soccer simulation game that provides a very realistic environment, but which has been relatively poorly explored in the context of learned g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b02d0688bfb6960577f8c5b70f6a3c48
https://doi.org/10.1109/icmla.2019.00043
https://doi.org/10.1109/icmla.2019.00043
Publikováno v:
ICTAI
This paper investigates the use of the Deep Active Imitation (DAI) learning strategy in single and multi-agents player platforms for FIFA game. DAI is a supervised Deep Learning training strategy in which previously trained agents evolve by mimicking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8778a220c24a3f2f480ea42a91f87480
https://doi.org/10.1109/ictai.2019.00242
https://doi.org/10.1109/ictai.2019.00242
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030166564
ISDA (1)
ISDA (1)
Distributed approaches of the Alpha-Beta search algorithm are commonly used as decision-making resources in agents designed for operating in competitive environments involving elevated state spaces. In this context, the present paper proposes a new m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34aef55e0f0b1387c2d8d7e0fb221d40
https://doi.org/10.1007/978-3-030-16657-1_44
https://doi.org/10.1007/978-3-030-16657-1_44
Publikováno v:
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018).
Checkers player agents represent an appropriate case study for the best unsupervised methods of Machine Learning. This work presents a tool to measure the performance of these methods based on the quality of the decision making of these agents. The p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1dab2d904b9acafbd0cc9f4a0ae484e
https://doi.org/10.5753/eniac.2018.4433
https://doi.org/10.5753/eniac.2018.4433
Publikováno v:
ICTAI
This paper has two main goals. Its first purpose is to create, in a distributed memory architecture, the Checkers agent APHID-Draughts, which is a player system designed to operate in a high performance environment. This system counts on an unsupervi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a529b6f01bb6e97bd0e937417c2a424e
https://doi.org/10.1109/ictai.2017.00188
https://doi.org/10.1109/ictai.2017.00188
Publikováno v:
IRI
This article presents an extension to the system D-VisionDraughts: a draughts player agent based on a MultiLayer Perceptron Neural Network which operates in a distributed environment, and in a manner which distinguishes it from the current world cham
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::896e2ff4b0df6b5760eaadc373c39c3c
https://doi.org/10.1109/iri.2013.6642481
https://doi.org/10.1109/iri.2013.6642481