Dominik Roth 55d6e8708e fix: kNN zero-variance dims get inf std; hot-start SAC from saved model ... - nucon/model.py: constant input dimensions (zero variance in training data) now get std=inf so they contribute 0 to normalised kNN distance instead of causing catastrophic OOD from tiny float epsilon - scripts/train_sac.py: add --load, --steps, --out CLI args; --load hot-starts actor/critic weights from a previous run (learning_starts=0) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>		2026-03-13 12:44:26 +01:00
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collect_dataset.py	feat: SAC+HER training on kNN-GP sim with direct bypass and scripts/	2026-03-12 20:43:37 +01:00
train_sac.py	fix: kNN zero-variance dims get inf std; hot-start SAC from saved model	2026-03-13 12:44:26 +01:00