The classical approach to using utility functions suffers from the drawback of having to design and tweak the functions on a case by case basis. Inspired by examples from the anim...
Alexander S. Klyubin, Daniel Polani, Chrystopher L...
This paper presents a model constructed for the evaluation of the interaction of the atmosphere and the ocean. The work here presented focuses in the development of an agent based ...
One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
This paper presents a fast localisation algorithm for autonomous mobile agents in dynamic environments based on the definition of a new very small sized landmark type. These landm...
Cristina Urdiales, Antonio Bandera, R. Ron, Franci...
We propose a Case-Based Reasoning approach for action selection in the robot soccer domain presented in the 8th European Conference on Case-Based Reasoning (2006). Based on the cu...