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foxhunt/docs
jgrusewski 327349c5e2 docs: reward v8 master plan — 18-item comprehensive training overhaul
5 categories, 18 items:
A) v7.1 fixes: aux GEMM, CEA warmup, OFI gate, dead code
B) Bootstrap trap: GPU cosine epsilon, n-step→5, dense micro-reward
C) Initialization: supervised pre-train, pessimistic Q-init, phase schedule
D) Advanced: TD(λ), PopArt normalization, curriculum learning, hindsight relabel
E) Dead code removal

4 new CUDA kernels, 3 modified, 12 new config fields, 4 removed.
Full GPU, no CPU path, no memory copies. Target: 50%+ win rate.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-07 23:14:40 +02:00
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