Many properties of parametric, polymorphic functions can be determined simply by inspection of their types. Such results are usually proven using Reynolds's parametricity the...
We introduce a framework for managing as a whole the space of a narrowing computation. The aim of our framework is to find a finite representation of an infinite narrowing space...
One of the most novel features in the functional programming language Haskell is the system of type classes used to support a combination of overloading and polymorphism. Current ...
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
We propose a method of approximate dynamic programming for Markov decision processes (MDPs) using algebraic decision diagrams (ADDs). We produce near-optimal value functions and p...