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DTSTART:20070311T070000
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DTSTART:20061029T060000
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DTSTART;TZID=America/Toronto:20070920T133000
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-ap
 proximate-solution-techniques-factored-first
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Approximate solution techniques for factored first-orde
 r\nMDPs
CLASS:PUBLIC
DESCRIPTION:Speaker: Scott Sanner (NICTA\, Australia)\n\nMost traditional a
 pproaches to probabilistic planning in relationally\nspecified MDPs rely o
 n grounding the problem w.r.t. specific domain\ninstantiations\, thereby i
 ncurring a combinatorial blowup in the\nrepresentation. An alternative app
 roach is to lift a relational MDP to\na first-order MDP (FOMDP) specificat
 ion and develop solution\napproaches that avoid grounding.
DTSTAMP:20260312T001710Z
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