In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Finding a destination in unfamiliar environments of complex office building or shopping mall has been always bothering us in daily life. Fine-scale directional guidance, a combina...
Patricia P. Wang, Tao Wang, Dayong Ding, Yimin Zha...
This paper describes a case study of VR platform Magic Mirror and its applications that are economic in development process and cost, flexible by contents and installation conditi...
The construction of computational cognitive models integrating the connectionist and symbolic paradigms of artificial intelligence is a standing research issue in the field. The co...
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...