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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: provide fallback API key and add safety check for empty observations in inference client
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Fix inference.py: handle missing API key gracefully, wrap all exceptions
9fd03cb
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feat: enhance episode completion logging with success status and rewards
18e9b8c -
chore: update environment variable defaults in .env.example and inference.py for clarity and consistency
eb251de -
Refactor project structure and remove unused files; update inference script for clarity and compliance with environment variable handling.
4c68447 -
fix: update Dockerfile for dependency management and remove unused packages; clean up inference.py
5c4340e
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feat: add baseline scores JSON and update inference.py for hackathon spec compliance
dd83f0d -
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: add example environment variables, update README, and enhance inference script for better error handling
b054ef7 -
feat: initialize project with documentation, inference script, and environment configuration
b4281fc -
feat: add task weights to configuration and implement LLM-based inference agent
0361922
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fix: resolve merge conflicts, finalize inference + README
2e0c292
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feat: add baseline scores JSON, inference script, and update Dockerfile for improved project structure
6d74982 -
feat: add baseline inference script, performance scores, and update openenv configuration
60cbc23
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feat: add GridMind-RL inference script and update documentation
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Enhance dashboard: Live Simulation, 72h episodes, and step reward tracking curve
4c1963b -
Initial commit
1875b13