We present a dynamic programming approach for the solution of first-order Markov decisions processes. This technique uses an MDP whose dynamics is represented in a variant of the ...
We describe an approach for exploiting structure in Markov Decision Processes with continuous state variables. At each step of the dynamic programming, the state space is dynamica...
Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, R...
Modern distributed applications pose increasing demands for high availability, automatic management, and dynamic conguration of their software systems. This paper presents the ar...
This paper presents an original algorithm for the computation of optical ow called Orthogonal Dynamic Programming (ODP) as well as several enhancements to it. The principle is to ...
A model of unrestricted And-parallel execution for logic programs is described, based on Dependency Directed Backtracking (DDBT) aimed at improving the efficiency of execution whi...