---
title: "Smith 20??"
source: https://www.jemoka.com/posts/kbhsmith/
---

HSVI
One-Liner &ldquo;impact of approximation decreases as steps from the root node&rdquo;
Novelty combined alpha-vector and forward heuristics to guide search of belief states before backup 100x times faster in PBVI scales to huge environments Goal: minimize &ldquo;regret&rdquo; (difference until optimal policy)
Novelty HSVI 2 Projected the upper bound onto a convex hull (HSVI2: via approximate convex hull projection) uses blind lower bound Notable Methods Key Figs New Concepts Notes
