Measuring Quality Of Learning In Real-Valued Domains
Brian J. Tillotson, David L. Johnson · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1989
A learning autonomous robot must learn from sensor data and must decide what topics to learn about. We present the method of resolution limited quantization for learning from sensor data and the method of histogram density to guide the process of topic selection. The methods are complementary in that they use the same knowledge representation. We describe a program, GRID, which implements these methods,. We present an example run of this program learning in the domain of a simulated mobile robot.