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pro vyhledávání: '"Nicolas Barriga"'
Publikováno v:
2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA).
Autor:
Nicolas Barriga
Publikováno v:
Scopus-Elsevier
This document contains a summary of research performed by the author on the topic of search algorithms for games. An outline of the problems being addressed is provided, along with the progress already made, and planned future work. The specific subj
Publikováno v:
Scopus-Elsevier
Real-Time Strategy (RTS) video games have proven to be a very challenging application area for artificial intelligence research. Existing AI solutionsare limited by vast state and action spaces and real-time constraints. Most implementations efficien
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13:9-15
A commonly used technique for managing AI complexity in real-time strategy (RTS) games is to use action and/or state abstractions. High-level abstractions can often lead to good strategic decision making, but tactical decision quality may suffer due
Autor:
Nicolás Barriga
Publikováno v:
Estudios de la Gestión, Iss 6 (2020)
El crédito, en los países latinoamericanos, se emplea como un mecanismo de financiamiento de nuevos emprendimientos, empresas e industrias, permitiendo el desarrollo de encadenamientos productivos en las economías. A su vez, la región latinoameri
Externí odkaz:
https://doaj.org/article/14b7dbdc9776436daaa723c8f41291ee
Publikováno v:
Scopus-Elsevier
Real-Time Strategy (RTS) games have shown to be very resilient to standard adversarial tree search techniques. Recently, a few approaches to tackle their complexity have emerged that use game state or move abstractions, or both. Unfortunately, the su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fd8a48658c0ea926cf3cbaca4528f43
http://www.scopus.com/inward/record.url?eid=2-s2.0-85040019519&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85040019519&partnerID=MN8TOARS
Publikováno v:
Scopus-Elsevier
In this paper we propose using a Genetic Algorithm to optimize the placement of buildings in Real-Time Strategy games. Candidate solutions are evaluated by running base assault simulations. We present experimental results in SparCraft — a StarCraft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba2b823c1181777f15abde507d417b78
http://www.scopus.com/inward/record.url?eid=2-s2.0-84974850973&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84974850973&partnerID=MN8TOARS
Publikováno v:
Scopus-Elsevier
A commonly used technique for managing AI complexity in real-time strategy (RTS) games is to use action and/or state abstractions. High-level abstractions can often lead to good strategic decision making, but tactical decision quality may suffer due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d821fafae29df56872a553cac613c83
http://www.scopus.com/inward/record.url?eid=2-s2.0-85045365267&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85045365267&partnerID=MN8TOARS