Distribution over Beliefs for Memory Bounded Dec-POMDP Planning

Computer Science – Artificial Intelligence

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Appears in Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (UAI2010)

Scientific paper

We propose a new point-based method for approximate planning in Dec-POMDP
which outperforms the state-of-the-art approaches in terms of solution quality.
It uses a heuristic estimation of the prior probability of beliefs to choose a
bounded number of policy trees: this choice is formulated as a combinatorial
optimisation problem minimising the error induced by pruning.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Distribution over Beliefs for Memory Bounded Dec-POMDP Planning does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Distribution over Beliefs for Memory Bounded Dec-POMDP Planning, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Distribution over Beliefs for Memory Bounded Dec-POMDP Planning will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-32113

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.