Systems | Information | Learning | Optimization
 

Approximate Optimality of Finite Models in Stochastic Control and Decentralized Control

For stochastic control problems with uncountable state and action spaces, the computation of optimal policies is known to be prohibitively hard. In this talk, we will present conditions under which finite models obtained through quantization of the state and action sets can be used to construct approximately optimal policies. Under …

What do oil spills, air pollutants, and ocean acoustics have in common? Detection, tracking and classification of environmental signals

Environmental studies frequently involve understanding complex between interactive components which may be challenging to detect, quantify or analyze using traditional methods. Furthermore, the interactions between the components themselves might be challenging to model or empirically estimate. For example, a fundamental bottleneck to fingerprinting petroleum sampled from an oil-rich region lies …