JEV-Computer-Use: System-One Decision Agent for Computer & Browser Use

JEV-Computer-Use is a fast System-One decision model designed for high-speed Computer Use and Browser Navigation. Unlike traditional vision-language agents that output slow, verbose text reasoning before each mouse click, JEV uses a single-readout candidate slot formulation, outputting calibrated discrete action probabilities in a single forward pass.

🚀 Key Features

• Ultra-fast Execution: Single-token action readout ($A, B, C...$) enables sub-second decision latency.
• Online Interactive GRPO: Built-in Group Relative Policy Optimization training with real headless Chromium (Playwright).
• VLM Verifier: Automated semantic verification using Qwen Vision-Language judge.
• Calibrated Policy: Trained with combined Cross-Entropy, Brier calibration loss, and analytical closed-form KL regularization.

📦 Training & Inference Code

The full training, data preprocessing, and Online GRPO environment code is available at: 👉 https://github.com/pidsana42-lgtm/JEV-Computer-Use

🛠️ Usage Quickstart

git clone https://github.com/pidsana42-lgtm/JEV-Computer-Use.git
cd JEV-Computer-Use
./start.sh