| title | Ryvox Email Agent V1 |
|---|---|
| emoji | 📧 |
| colorFrom | blue |
| colorTo | indigo |
| sdk | docker |
| app_file | app.py |
| pinned | false |
An OpenEnv-compliant reinforcement learning environment for email classification.
This project simulates a real-world task where an AI agent classifies emails into:
- Spam
- Important
- Normal
Email classification is a real-world task used in:
- Gmail spam filters
- Enterprise email systems
- Customer support automation
This environment allows an AI agent to learn and improve classification decisions using reward-based feedback.
✔ Typed Models (Pydantic)
✔ step() / reset() / state() API
✔ Reward-based learning
✔ YAML configuration
{
"email_text": "Win $1000 now!",
"reward": 0.0,
"done": false
}