How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Exhaustive finite-horizon POMDP alpha-vector backup
Definition
Input a finite POMDP, a horizon , and its discount . A depth-zero policy tree is the empty continuation and has the zero vector . Recursively, a depth- policy tree consists of a root action and one depth- continuation tree for each observation . If the continuation vectors are , assign the tree the vector
Set . For each , form from every action and every tuple using the displayed formula, treating as a set so equal vectors are stored once. Return . This procedure exhaustively enumerates finite policy-tree vectors; it does not perform linear-program witness pruning and makes no bit-complexity or polynomial-time claim.
Definition references
Remarks
The diagram shows a depth-two policy tree: the root chooses ; after the observation the continuation chooses , and after it chooses . The outgoing edges represent observations, not hidden states or rewards. Every observation has a branch, including an observation that has probability zero at a particular belief. The algebraic definition above, rather than the diagram, determines the procedure and its outputs.
diagram failed to render:
\begin{tikzpicture}[level distance=1.25cm,sibling distance=3.0cm]
\node[draw,rounded corners] {$a_0$}
child { node[draw,rounded corners] {$a_x$} edge from parent node[left] {$x$} }
child { node[draw,rounded corners] {$a_y$} edge from parent node[right] {$y$} };
\end{tikzpicture}Depends on
Used by
Dependency tree · two levels
13 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Kaelbling, Littman, and Cassandra, Planning and Acting in Partially Observable Stochastic Domains, Brown Technical Report CS-96-08 (standard reference, not scraped)
- Pascal Poupart, CS 886 Lecture 13: POMDPs, University of Waterloo (standard reference, not scraped)