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PlayerCharacteristics
Samuel Gomes edited this page Jul 12, 2024
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This class stores learning characteristics.
PlayerCharacteristics(ability=0,
engagement=0,
group_diversity=0): void| Name: expected type | Default value | Description |
|---|---|---|
| ability: float | 0 | The ability of the learner defined between 0.0 and 1.0. |
| engagement: float | 0 | The engagement of the learner defined between 0.0 and 1.0. |
| group_diversity: float | 0 | (optional) The diversity of the group the learner is in. |
reset(): voidSets ability and engagement to 0.
Adaptation
Group Configuration Generation
- ConfigsGenAlg
- RandomConfigsGenAlg
- PureRandomSearchConfigsGenAlg
- EvolutionaryConfigsGenAlg
- ODPIPConfigsGenAlg (exact)
- CLinkConfigsGenAlg (legacy)
Preferences Estimation
Quality Evaluation Algorithms
- QualityEvalAlg
- Group-Based Quality Evaluation:
- Regression-Based Quality Evaluation:
- Tabular Quality Evaluation:
Auxiliary Structures
- InteractionsProfile
- PlayerCharacteristics
- PlayerState
- Personality (Inherent Preference):
- PlayerStatesDataFrame
Model Bridges
Player Data Trim