The Robosoccer simulator is a challenging environment for artificial intelligence, where a human has to program an agent and introduce it into a soccer virtual ...
The main aim of this paper is to transform Robosoccer into an interactive game and let a human control a Robosoccer agent. Then ML techniques can be used to ...
This paper presents a data-driven method for modeling teams by training Deep Neural Networks with large amounts of data with an Imitation Learning ...
Oct 22, 2024 · The Robosoccer simulator is a challenging environment for artificial intelligence, where a human has to program a team of agents and ...
Programming Robosoccer agents by modeling human behavior. Authors. Ricardo Aler · José M. Valls · David Camacho · Alberto López. Publication date: 28 February ...
Bauer, M. (1996). Machine learning for plan recognition. In Machine learning meets human computer interaction. Workshop of the international conference on ...
The main aim of this paper is to transform Robosoccer into an interactive game and let a human control a Robosoccer agent. Then ML techniques can be used to ...
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The implicit learning and adaptive nature of evolutionary computation techniques offer a natural way to develop and explore models of an opponent's strategy ...
Mar 5, 2009 · Researchers have developed an automated method of robot training by observing and copying human behavior.
Programming Robosoccer agents by modeling human behavior. The Robosoccer simulator is a challenging environment for artificial intelligence, where a human ...