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| """RL-based court scheduling components. | |
| This module contains the reinforcement learning components for court scheduling: | |
| - Tabular Q-learning agent for case priority scoring | |
| - Training environment and loops | |
| - Explainability tools for judicial decisions | |
| """ | |
| from .simple_agent import TabularQAgent | |
| from .training import train_agent, evaluate_agent, RLTrainingEnvironment | |
| __all__ = ['TabularQAgent', 'train_agent', 'evaluate_agent', 'RLTrainingEnvironment'] | |