Point-Based POMDP Algorithms: Improved Analysis and Implementation

Trey Smith; Reid Simmons

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arXiv · 1207.1412

Point-Based POMDP Algorithms: Improved Analysis and Implementation

Trey Smith·Reid Simmons

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Abstract

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.

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Trey Smith, Reid Simmons. 2012-07-04. Point-Based POMDP Algorithms: Improved Analysis and Implementation. https://arxiv.org/abs/1207.1412

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