The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
This paper presents an automatic method, based on the deformable template approach, for cell image segmentation under severe noise conditions. We de"ne a new methodology, div...
In this paper, we present a novel approach of face identification by formulating the pattern recognition problem in terms of linear regression. Using a fundamental concept that pat...
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
Lihong Li, Michael L. Littman, Christopher R. Mans...
We present a methodology and algorithms for automatic refinement from a given design specification to an architecture model based on decisions in architecture exploration. An arch...