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Add Task 4 instruction following, Curriculum Manager for self-improvement, and world modeling simulation
- Add Task 4: Instruction Following - agent parses objective card and plans actions - Add CurriculumManager: auto-advances task difficulty when reward thresholds met - Add /simulate endpoint: world modeling to predict action outcomes before committing - Fix: add _default_action method to LLMAgent class (was defined outside) - Enable simulation warnings when predicted reward falls below running average0af208b
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fix: update Dockerfile for dependency management and remove unused packages; clean up inference.py
5c4340e
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Enhance Dockerfile and project structure for GridMind-RL
- Updated Dockerfile to create run directories for supervisor and adjusted user permissions. - Modified CMD to run supervisor in the foreground for better process management. - Revised baseline_scores.json with updated task averages and overall average scores. - Added PKG-INFO file for package metadata and dependencies. - Created SOURCES.txt, dependency_links.txt, entry_points.txt, requires.txt, and top_level.txt for package structure. - Implemented FastAPI server in app.py to proxy requests to the Go environment server. - Updated requirements.txt and pyproject.toml to include necessary dependencies and project metadata. - Added __init__.py files for Python package structure.c588022 -
feat: initialize project with documentation, inference script, and environment configuration
b4281fc
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Initial commit
1875b13