Focussed Dynamic Programming: Extensive Comparative Results

David Ferguson and Anthony (Tony) Stentz
tech. report CMU-RI-TR-04-13, Robotics Institute, Carnegie Mellon University, March, 2004


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Abstract
We present a heuristic-based propagation algorithm for solving Markov decision processes (MDPs). Our approach, which combines ideas from deterministic search and recent dynamic programming methods, focusses computation towards promising areas of the state space. It is thus able to significantly reduce the amount of processing required in producing a solution. We present a number of results comparing our approach to existing algorithms on a robotic path planning domain.

Keywords
path planning, MDPs

Notes

Text Reference
David Ferguson and Anthony (Tony) Stentz, "Focussed Dynamic Programming: Extensive Comparative Results," tech. report CMU-RI-TR-04-13, Robotics Institute, Carnegie Mellon University, March, 2004

BibTeX Reference
@techreport{Ferguson__2004_4622,
   author = "David {Ferguson } and Anthony (Tony) Stentz",
   title = "Focussed Dynamic Programming: Extensive Comparative Results",
   booktitle = "",
   institution = "Robotics Institute",
   month = "March",
   year = "2004",
   number= "CMU-RI-TR-04-13",
   address= "Pittsburgh, PA",
}