Automatic analysis of programs with preprocessing directives and conditional compilation is challenging. The difficulties range from parsing to program understanding. Symbolic eva...
We present a typed calculus IL ("intermediate language") which supports the embedding of ML-like (strict, eager) and Haskell-like (non-strict, lazy) languages, without fa...
Ben Rudiak-Gould, Alan Mycroft, Simon L. Peyton Jo...
In this paper, we propose an extended local search framework to solve combinatorial optimization problems with data uncertainty. Our approach represents a major departure from sce...
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
As sensor networks are being increasingly deployed in decisionmaking infrastructures such as battlefield monitoring systems and SCADA(Supervisory Control and Data Acquisition) sys...