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MinCellValueAggregator ​

python
MinCellValueAggregator(current: float = 0.0, initialized: bool = False) -> None

Persistent minimum over observed values.

Used for cost-aware exploration: a cell should remember the cheapest winning route that has ever passed through it, so the cost-gap score falls as soon as a shorter route is discovered and exploration self-extinguishes there. A running average would keep the cell lit even after a cheap route exists; the minimum tracks the best-known cost directly.

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Properties ​

value ​

python
value: float

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Methods ​

record ​

python
record(observation: float) -> None

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state_dict ​

python
state_dict() -> dict[str, Any]

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Values ​

current ​

python
current: float = 0.0

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initialized ​

python
initialized: bool = False

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