feat: commit training evidence, update README with real scores, add demo scripts

docs: add reward weight rationale table to README

Add Task 4 instruction following, Curriculum Manager for self-improvement, and world modeling simulation

refactor: Inference and readme

updated readme

Add dashboard reverse proxy at /dashboard

Add HF Space metadata

Refactor project structure and remove unused files; update inference script for clarity and compliance with environment variable handling.

Update Python version requirement to 3.10+

feat: add example environment variables, update README, and enhance inference script for better error handling

docs: update docker run commands to expose port 7861 in README

feat: initialize project with documentation, inference script, and environment configuration

feat: add task weights to configuration and implement LLM-based inference agent

docs: add reward structure and deployment guide, update baseline scores, and implement dashboard UI

fix: resolve merge conflicts, finalize inference + README

docs: update README for project overview, quick start instructions, and API details

feat: add baseline scores JSON, inference script, and update Dockerfile for improved project structure

feat: add baseline inference script, performance scores, and update openenv configuration

docs: add instructions for starting the visualization dashboard to README

feat: add pre-built executable for easier project setup

feat: add GridMind-RL inference script and update documentation

Initial commit