We present an expressive agent design language for reinforcement learning that allows the user to constrain the policies considered by the learning process.The language includes s...
XML has become one of the core technologies for contemporary business applications, especially web-based applications. To facilitate processing of diverse XML data, we propose an ...
Quanzhong Li, Michelle Y. Kim, Edward So, Steve Wo...
This paper describes a novel approach to embedded software development. Instead of using a combination of C code and modeling tools, we propose an approach where modeling and progr...
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
A variety of application domains are interactive in nature: a primary task involves responding to external actions. In this paper, we introduce explicit programming language suppor...