Process-aware information systems are typically driven by process models capturing an idealized view of the actual processes. For example, most process models assume that planned ...
Wil M. P. van der Aalst, Michael Rosemann, Marlon ...
In sequential decision making under uncertainty, as in many other modeling endeavors, researchers observe a dynamical system and collect data measuring its behavior over time. The...
We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
This paper highlights a project performed by TASC for Armstrong Laboratories, Wright-Patterson AFB. This project describes a simulation tool to help wing-level planners at an Air ...
Interactions between agents in an open system such as the Internet require a significant degree of flexibility. A crucial aspect of the development of such methods is the notion o...