CenteredRewardScenario
Training scenarios · Implementation: mlsysim/engine/scenario_definitions/training.py.
Construct this scenario with keyword inputs. The fields below show the types and defaults declared by this class.
Binary terminal rewards centered on a fixed baseline.
Notes
Equation: Composition of mlsysim.solvers.CenteredRewardModel.solve.
Assumptions: Inputs are routed to CenteredRewardModel.solve; their documented regimes and units apply to this configuration.
Excludes: Additional mechanisms beyond the linked solver contracts; the scenario does not collect measurements.
References
Derivation: This scenario binds named inputs to CenteredRewardModel. The linked solver contracts own equations, sources, and result-unit definitions.
Examples
Evaluate the named configuration and display a modeled result.
>>> from mlsysim import Scenarios
>>> case = Scenarios.BinaryRewardFixedBaseline
>>> value = case.result.passing_score
>>> print(f"{value:.3g}")
0.75Attributes
| Name | Description |
|---|---|
| baseline | |
| failing_reward | |
| passing_reward | |
| result | Evaluate the stated centered reward case through CenteredRewardModel.solve; returns its typed result and quantity units. |
baseline
Type: float.
Declared default: required.
passing_reward
Type: float.
Declared default: required.
failing_reward
Type: float.
Declared default: required.
result
engine.scenario_types.CenteredRewardScenario.result
Evaluate the stated centered reward case through CenteredRewardModel.solve; returns its typed result and quantity units.
Calculation: mlsysim.solvers.CenteredRewardModel.solve.