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SUMMARY:Discounted continuous-time Markov decision process with constraint
 s: unbounded transition and loss rate - Piunovskiy\, A (Liverpool)
DTSTART:20100603T153000Z
DTEND:20100603T163000Z
UID:TALK25074@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:It is known that the convex analytic approach is effective for
  solving constrained problems for discrete-time MDP. If the transition rat
 e of a continuous-time model is bounded\, then one can use the uniformizat
 ion technique\, but if that is unbounded\, one has to investigate the occu
 pation measures and linear programs from scratch. In this report\, we pres
 ent the main properties of the space of occupation measures\, study the li
 near program thereon\, and consider several examples.
LOCATION:Seminar Room 1\, Newton Institute
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