Inferring bounds on the performance of a control policy from a sample of one-step system transitions
Year: 2009
Type: conference-paper
Abstract: In financial, medical, and engineering sciences, as well as in artificial intelligence, variants (or generalizations) of the following discrete-time optimal control problem arise quite frequently: a system, characterized by its state-transition function
Source: ORBi (University of Liège)
Institutions: University of Liège, University of Michigan
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W834590648
