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fix: remove last two hardcoded 0.0 scores in error path of my_environment.py
Shivappa8a5b69b -
fix: clamp all scores strictly to (0.01, 0.99) — validator rejects 0.0 and 1.0
Shivappagraders.py: - Add _clamp() helper: min(max(score, 0.01), 0.99) - All three graders (easy/medium/hard) now return _clamp(score) - Scores can never be exactly 0.0 or 1.0 my_environment.py: - Clamp per-step reward to (0.01, 0.99) after penalty calculation - Reset observation uses 0.01 instead of 0.0 inference.py: - Final episode score clamped to (0.01, 0.99) before logging [END] line1816098 -
style: distinctive gradient color and consistent title across READMEs
1259390 -
Email triage RL
753b5ee