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AE
2007
Springer
14 years 1 months ago
Automatic Design of Vision-Based Obstacle Avoidance Controllers Using Genetic Programming
The work presented in this paper is part of the development of a robotic system able to learn context dependent visual clues to navigate in its environment. We focus on the obstacl...
Renaud Barate, Antoine Manzanera
SIGCSE
2005
ACM
113views Education» more  SIGCSE 2005»
14 years 27 days ago
Learning by doing: introducing version control as a way to manage student assignments
Professional software developers use version control systems to coordinate their work, and to provide an unwindable history of their project’s evolution. In contrast, students i...
Karen L. Reid, Gregory V. Wilson
MICAI
2005
Springer
14 years 25 days ago
Fuzzeval: A Fuzzy Controller-Based Approach in Adaptive Learning for Backgammon Game
Abstract. In this paper we investigate the effectiveness of applying fuzzy controllers to create strong computer player programs in the domain of backgammon. Fuzzeval, our proposed...
Mikael Heinze, Daniel Ortiz Arroyo, Henrik Legind ...
CEC
2010
IEEE
13 years 8 months ago
Concurrently evolving sensor morphology and control for a hexapod robot
Evolving a robot's sensor morphology along with its control program has the potential to significantly improve its effectiveness in completing the assigned task, plus accommod...
Gary B. Parker, Pramod J. Nathan
ICML
1998
IEEE
14 years 8 months ago
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene ...
Ricardo Aler, Daniel Borrajo, Pedro Isasi