A critical challenge to creating effective agent-based systems is allowing them to operate effectively when the operating environment is complex, dynamic, and error-prone. In this...
Abstract. This paper is concerned with arti cial evolution of neurocontrollers with adaptive synapses for autonomous mobile robots. The method consists of encoding on the genotype ...
For types of data visualization where the cost of producing images is high, and the relationship between the rendering parameters and the image produced is less than obvious, a vi...
Scalability and reliability are inseparable in high-performance computing. Fault-isolation through hardware is a popular means of providing reliability. Unfortunately, such isolat...
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...