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Point-Based POMDP Algorithms: Improved Analysis and Implementation
[article]
2012
arXiv
pre-print
Existing complexity bounds for point-based POMDP value iteration algorithms focus either on the curse of dimensionality or the curse of history. We derive a new bound that relies on both and uses the concept of discounted reachability; our conclusions may help guide future algorithm design. We also discuss recent improvements to our (point-based) heuristic search value iteration algorithm. Our new implementation calculates tighter initial bounds, avoids solving linear programs, and makes more effective use of sparsity.
arXiv:1207.1412v1
fatcat:7hkplw5wmrapvmfexrxqcjo4dm