Consider unmanned airborne vehicle (UAV) control agents in a dynamic multi-agent system. The agents must have a set of goals such as destination airport and intermediate positions...
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
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...
This paper proposes a stochastic dynamic programming model for a short-term capacity planning model for air cargo space. The long-term cargo space is usually acquired by freight fo...
Ek Peng Chew, Huei Chuen Huang, Ellis L. Johnson, ...
: Increasingly, models (and modelers) are being asked to address the interactions between human influences, ecological processes, and landscape dynamics that impact many diverse as...
John P. Bolte, David W. Hulse, Stanley V. Gregory,...