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Commit History
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feat: normalize step-wise rewards to strictly (0, 1) range
a8fff3f -
feat: strictly bound task scores to (0, 1) range for RL training stability
470ff2f
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fix: align medium_double_charge task with actual DB data (ORD-1515 = Neha Gupta, cosmetics)
acc91ff -
revert: restore original rewards and env logic, keep grader normalization in inference only
06a80a2 -
fix: gate resolution/efficiency bonuses by grader_score, use grader for final score, robust reward weighting
83dd0f8
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docs: finalize production-grade documentation and technical comments across core files
0bbc2af -
Final: Added Chatbot Feedback, Exit Controls, and Professional Documentation
72165f5 -
Final: 100% Full Database Restoration (Untruncated)
4fc1997 -
Final: Clear and absolute-import restoration of the Environment API
61770a5 -
Fix: Resolved Runtime ImportError and restored missing server files (db.py, tools.py)
b0ca376 -
Cleanup: Merged redundant server folders into a single root 'server' directory
2fe9257 -
Final: Validated and Windows-ready validator script; Step 3 fixes
5225d67