This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
—More and more processor manufacturers have launched embedded multicore processors for consumer electronics products because such processors provide high performance and low powe...
Process programming is regarded as a critical approach in many cooperative process related areas including software engineering, workflow management, business process management, e...