rl_training_data/README.md

RL Training Data Directory

This directory stores feedback data collected from users for Reinforcement Learning model improvement.

Files

• feedback_log.jsonl: Line-delimited JSON file containing all user feedback entries
  • Each line is a complete JSON object with analysis data, user feedback, reward, and episode number
  • Format: {"timestamp": "...", "analysis": {...}, "feedback": {...}, "reward": 10.0, "episode": 1}

Data Collection

The system collects 10-20 feedback samples before the RL agent starts learning patterns. After sufficient data is collected, the agent uses Experience Replay to train on historical feedback.

Privacy

All data is stored locally. No data is sent to external servers.

Backup

This directory should be backed up regularly as it contains the training history for the RL model.