{ "model_info": { "name": "contextflow-rl", "version": "50", "algorithm": "GRPO + Q-Learning", "training_samples": 200, "total_epochs": 5, "final_loss": 0.2465 }, "training_history": [ {"epoch": 1, "loss": 1.2456, "epsilon": 1.0, "avg_reward": 0.2}, {"epoch": 2, "loss": 0.8923, "epsilon": 0.995, "avg_reward": 0.35}, {"epoch": 3, "loss": 0.6541, "epsilon": 0.990, "avg_reward": 0.48}, {"epoch": 4, "loss": 0.4127, "epsilon": 0.985, "avg_reward": 0.62}, {"epoch": 5, "loss": 0.2465, "epsilon": 0.980, "avg_reward": 0.75} ], "q_network_config": { "state_dim": 64, "action_dim": 10, "hidden_dim": 128, "learning_rate": 0.001, "gamma": 0.95, "epsilon_start": 1.0, "epsilon_end": 0.01, "epsilon_decay": 0.995 }, "actions": [ "what_is_backpropagation", "why_gradient_descent", "how_overfitting_works", "explain_regularization", "what_loss_function", "how_optimization_works", "explain_learning_rate", "what_regularization", "how_batch_norm_works", "explain_softmax" ], "sample_predictions": [ { "scenario": "beginner_ml_student", "state_summary": { "progress": 0.3, "confusion_signals": 3.0, "gesture_signals": 2.0 }, "prediction": "what_is_backpropagation", "confidence": 0.72 }, { "scenario": "advanced_struggling", "state_summary": { "progress": 0.7, "confusion_signals": 4.5, "gesture_signals": 8.0 }, "prediction": "how_overfitting_works", "confidence": 0.85 }, { "scenario": "quick_learner", "state_summary": { "progress": 0.9, "confusion_signals": 0.5, "gesture_signals": 3.0 }, "prediction": "explain_softmax", "confidence": 0.45 } ], "limitations": [ "Trained on 200 synthetic samples", "Limited real-world behavioral data", "No hyperparameter tuning performed", "Requires MediaPipe for gesture recognition" ], "recommended_next_steps": [ "Collect real learning session data", "Increase training samples to 10000+", "Add hyperparameter optimization", "Implement online learning" ] }