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...
: Digital computation is a powerful source of functional support. However, it has been confined to the augmentation of single objects only. In this article, we are interested in th...
We present a major improvement to the incremental pruning algorithm for solving partially observable Markov decision processes. Our technique targets the cross-sum step of the dyn...
Computing is moving toward a pervasive context-aware environment in which agents with limited resources will require external support to help them become context-aware. In this pa...
Despite the importance of the management of inventory in industrial scheduling applications, there has been little research that has addressed reasoning about inventory directly a...