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Commit History
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fix: include env/faults.go missed due to .gitignore
61fd4d1 -
feat: implement Go-based GridMind-RL simulation core and update inference interface (graph)
a4671c4 -
feat: define GridMind-RL environment data models and task structures
c009bc5 -
feat: implement multi-component dense reward function and environmental logic for GridMind-RL
b81683f
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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: problems with parameters
f316664
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fix: clamp scores after rounding and ensure all sub-scores are clamped
e58b5ec -
fix: clamp all scores to open interval (0, 1) to meet validator requirements
ef0556b
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feat: implement core environment simulation logic and update baseline scores
5569b4d
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docs: add reward structure and deployment guide, update baseline scores, and implement dashboard UI
e3fbc9c -
fix: resolve merge conflicts, finalize inference + README
2e0c292
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feat: implement reward system logic in new rewards module
f1bfee9 -
feat: add baseline scores JSON, inference script, and update Dockerfile for improved project structure
6d74982
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Enhance dashboard: Live Simulation, 72h episodes, and step reward tracking curve
4c1963b -
Initial commit
1875b13