We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
With the growing popularity of pen-based computers comes the need to display clear handwritten characters at small sizes on low-resolution displays. This paper describes a method ...
Sara L. Su, Chenyu Wu, Ying-Qing Xu, Heung-Yeung S...
—During post-silicon processor debugging, we need to frequently capture and dump out the internal state of the processor. Since internal state constitutes all memory elements, th...
Anant Vishnoi, Preeti Ranjan Panda, M. Balakrishna...
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Abstract. In the community of sentiment analysis, supervised learning techniques have been shown to perform very well. When transferred to another domain, however, a supervised sen...