Add model card

README.md

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+---
+license: apache-2.0
+tags:
+- computer-use
+- gui-grounding
+- reinforcement-learning
+- grpo
+- qwen
+- playwright
+- browser-agent
+pipeline_tag: text-generation
+---
+
+# 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](https://github.com/pidsana42-lgtm/JEV-Computer-Use)
+
+## 🛠️ Usage Quickstart
+
+```bash
+git clone https://github.com/pidsana42-lgtm/JEV-Computer-Use.git
+cd JEV-Computer-Use
+./start.sh
+```