Algorithmintro
Value iteration
Also called VI, successive approximation.
Repeatedly apply the Bellman optimality backup, converging geometrically to the optimal value.
Repeatedly apply the Bellman optimality backup, converging geometrically to the optimal value.
About this page
The build computes these levels from the evidence in the repository. Each row says what the next level needs. Read what the levels mean.
| Ladder | Level | What the next level needs |
|---|---|---|
| Human proof | H0 no proof |
|
| Lean | L0 no Lean part |
|
| Visual | V0 none |
|
| Writing | W0 stub |
|
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