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(PDF) Predicting opponent actions in the RoboSoccer
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... A model of another agent was built by using a classifier that would take the same inputs as the opponent and would produce its predicted output. In a ...
Predicting Opponent Actions in the RoboSoccer - e-Archivo
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由 A Ledezma 著作2002被引用 7 次 — By using this hierarchical learning approach accu- racy results improve, and at worst, the agent can know what action tbe opponent will carry out, even if tbere ...
Predicting opponent actions in the RoboSoccer
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由 A Ledezma 著作2002被引用 7 次 — By using this hierarchical learning approach accuracy results improve, and at worst, the agent can know what action the opponent will carry out, even if there ...
Predicting opponent actions in the RoboSoccer
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Predicting Opponent Actions in the RoboSoccer. A. Ledezma, R. Aler, A. Sanchis and D. Borrajo. Departamento de Informdtica. Universidad Carlos In de Madrid.
[PDF] Predicting opponent actions in the RoboSoccer
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The learning task is proposed to decompose the learning task into two tasks: learning the action name and learning the parameter of that action, ...
Predicting Opponent Actions by Observation
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Predicting opponent actions in the robosoccer. In Proceedings of the 2002 IEEE International. Conference on Systems, Man and Cybernetics, October 2002. 5 ...
Predicting opponent team activity in a RoboCup environment
arXiv
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由 S Baez 著作2015被引用 3 次 — Abstract. The goal of this project is to predict the opponent's configuration in a RoboCup SSL environment. For simplicity, a Markov model assumption is ...
Predicting Opponent Actions by Observation
Springer
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由 A Ledezma 著作2005被引用 40 次 — First, we build a classifier to label opponent actions based on observation. Second, our agent observes an opponent and labels its actions using the previous ...
(PDF) Predicting Opponent Actions by Observation
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2024年11月21日 — First, we build a classifier to label opponent actions based on observation. Second, our agent observes an opponent and labels its actions using ...
The Winning Advantage: Using Opponent Models in Robot ...
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由 JA Iglesias 著作2009被引用 8 次 — This paper introduces a novel approach to use efficiently opponent models in order to improve our own team behavior. The basis of this approach is the research ...