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ExploitationPreferencesEstAlg
Samuel Gomes edited this page Jul 12, 2024
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ExploitationPreferencesEstAlg is an estimation algorithm that values exploitation of the players' current state. When used in conjunction with a purely greedy grouping approach, it gets stuck in the first local maximum.
ExploitationPreferencesEstAlg(
player_model_bridge: PlayerModelBridge,
quality_weights: PlayerCharacteristics = {ability = 0.5, engagement = 0.5): void| Name: expected type | Default value | Description |
|---|---|---|
| player_model_bridge: PlayerModelBridge | - | The connector for the player data storage. |
| quality_weights: PlayerCharacteristics | {ability= 0.5, engagement= 0.5} | The importance given to each player characteristic when computing the quality of a configuration. |
__calc_quality(state: PlayerState): decimalComputes the quality of a player state, between 0 and 1. A higher value means better quality.
Overrides updateEstimates() (see PreferencesEstAlg).
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