🏥 TRIAGE
Select a crisis scenario and click Run Simulation to watch the agents coordinate in real-time.
Before vs After GRPO Training
Compare untuned baseline output against GRPO-trained output across 4 crisis scenarios. All 8 reward verifiers are applied to both outputs — showing exactly what improved.
📋 Understanding the metrics:
- LLM-driven (directly improved by GRPO):
format_compliance,reasoning_quality,hallucination_gate,action_alignment- State-driven (environment outcomes):
patient_survival,icu_efficiency,violation_detection,response_speedGRPO trains the model's output layer — format compliance, action alignment, and hallucination reduction are the primary indicators of training success. State-driven metrics improve when the trained model drives multi-step simulations.
Test Any Action
Use the form below to craft an agent decision. The UI will automatically format it into the required JSON schema and score it against all 8 reward verifiers!
📝 Agent Decision Form
🌍 Environment State
OpenEnv GRPO Training Telemetry
Training run metrics showing reward convergence during multi-agent reinforcement learning.