—Many modern optimizers use a transformation rule based framework. While there has been a lot of work on identifying new transformation rules, there has been little work focused ...
Surajit Chaudhuri, Leo Giakoumakis, Vivek R. Naras...
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
In this paper, we present the design and implementation of a lightweight fault tolerance framework for Web services. With our framework, a Web service can be rendered fault tolera...
Many design techniques have been proposed to optimize the performance of a digital system implemented in a given technology. Each of these techniques can be advantageous in partic...
Hong-Yean Hsieh, Wentai Liu, Ralph K. Cavin III, C...
In both the quality improvement and the design of a product, the engineering characteristics affecting product performance are primarily identified and improved to optimize custom...