refactor: replace heuristic log generation with Go-based environment simulation and update API schema

fix: include env/faults.go missed due to .gitignore

feat: implement Go-based GridMind-RL simulation core and update inference interface (graph)

feat: define GridMind-RL environment data models and task structures

feat: implement multi-component dense reward function and environmental logic for GridMind-RL

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

fix: problems with parameters

fix: clamp scores after rounding and ensure all sub-scores are clamped

fix: clamp all scores to open interval (0, 1) to meet validator requirements

feat: implement core environment simulation logic and update baseline scores

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

fix: resolve merge conflicts, finalize inference + README

feat: implement reward system logic in new rewards module

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

Enhance dashboard: Live Simulation, 72h episodes, and step reward tracking curve

Initial commit