Zobrazeno 1 - 10
of 191
pro vyhledávání: '"Michael Buro"'
Publikováno v:
IEEE Internet of Things Journal. 9:25086-25099
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da36529ff17ddf6599a5223fb7243aea
https://doi.org/10.1109/jiot.2022.3195359
https://doi.org/10.1109/jiot.2022.3195359
Autor:
Nathan Sturtevant, Michael Buro
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 2:80-85
In this paper we combine recent pathfinding research on spatial abstractions, partial refinement, and space-time reserva- tions to construct new collaborative pathfinding algorithms. We first present an enhanced version of WHCA* and then show how the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e10613d00ea6e4087db9401754dd2cde
https://doi.org/10.1609/aiide.v2i1.18750
https://doi.org/10.1609/aiide.v2i1.18750
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8:112-117
Heuristic search has been very successful in abstract game domains such as Chess and Go. In video games, however, adoption has been slow due to the fact that state and move spaces are much larger, real-time constraints are harsher, and constraints on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c355131a29a6b24fe363ed827e1d7f5a
https://doi.org/10.1609/aiide.v8i1.12527
https://doi.org/10.1609/aiide.v8i1.12527
Autor:
David Churchill, Michael Buro
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8:2-7
Real-time strategy (RTS) games are known to be one of the most complex gamegenres for humans to play, as well as one of the most difficult games forcomputer AI agents to play well. To tackle the task of applying AI to RTSgames, recent techniques have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a416fd83d61376e0ea4b471826a66477
https://doi.org/10.1609/aiide.v8i3.12548
https://doi.org/10.1609/aiide.v8i3.12548
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 9:86-92
Smart decision making at the tactical level is important for Artificial Intelligence (AI) agents to perform well in the domain of real-time strategy (RTS) games. This paper presents a Bayesian model that can be used to predict the outcomes of isolate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::412dd1d418449451c5d89eeae88c7b03
https://doi.org/10.1609/aiide.v9i1.12683
https://doi.org/10.1609/aiide.v9i1.12683
Autor:
Graham Erickson, Michael Buro
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10:112-118
State evaluation and opponent modelling are important areasto consider when designing game-playing Artificial Intelligence.This paper presents a model for predicting whichplayer will win in the real-time strategy game StarCraft.Model weights are lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c482dd620cd0becde98c6df23e6e2f27
https://doi.org/10.1609/aiide.v10i1.12725
https://doi.org/10.1609/aiide.v10i1.12725
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb688438b52ea47c794a3b20984de319
https://doi.org/10.1609/aiide.v13i1.12922
https://doi.org/10.1609/aiide.v13i1.12922
Autor:
Douglas Schneider, Michael Buro
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 11:15-21
Real-time strategy (RTS) games pose challenges to AI research on many levels, ranging from selecting targets in unit combat situations, over efficient multi-unit pathfinding, to high-level economic decisions. Due to the complexity of RTS games, writi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74414f7e375d7d395c2f7b4da6e154e2
https://doi.org/10.1609/aiide.v11i2.12811
https://doi.org/10.1609/aiide.v11i2.12811
Autor:
David Churchill, Michael Buro
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 11:16-22
Online strategy video games offer several unique challenges to the field of AI research. Due to their large state and action spaces, existing search algorithms have difficulties in making strategically strong decisions. Additionally, the nature of co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddb684e2a107666706c16436923f56cc
https://doi.org/10.1609/aiide.v11i1.12787
https://doi.org/10.1609/aiide.v11i1.12787
Publikováno v:
IEEE Computational Intelligence Magazine. 14:8-18
Constructing strong AI systems for video games is difficult due to enormous state and action spaces and the lack of good state evaluation functions and high-level action abstractions. In spite of recent research progress in popular video game genres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::744e9a0691524c7ae5d9ef91c465860c
https://doi.org/10.1109/mci.2019.2919363
https://doi.org/10.1109/mci.2019.2919363