jgrusewski 56373f0941 feat: DQN gems — spectral decoupling, manifold mixup, regime replay, family hyperopt ...

Phase 1: Remove 5 DQNConfig boolean flags (use_soft_updates, use_iqn,
enable_q_value_clipping, use_cvar_action_selection, use_count_bonus).
All features now unconditionally active — no dead toggle branches.

Phase 2: Add spectral decoupling (L2 on Q-value logits, Pezeshki 2021)
and manifold mixup (Beta-sampled distribution interpolation with atomic
barrier sync) directly in C51 CUDA loss kernel. Zero CPU involvement.

Phase 3: Tag Experience transitions with market regime (ADX/CUSUM GPU
classifier kernel). Add regime-biased PER sampling via rejection with
IS weight correction. Decay factor controls cross-regime bleeding.

Phase 4: 6 family intensity scalars for hyperopt (adversarial,
regularization, augmentation, loss shaping, ensemble, causal). Scales
34 generalization params through 6 PSO dimensions instead of 34.
Search space: 24D → 30D (families additive, individual params kept).

20 files changed, +563/-69 lines. Full workspace compiles clean.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-03-31 00:39:23 +02:00

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