jgrusewski 7f5dfb70c6 docs: add DQN production hardening design ...

4-phase plan from deep audit: critical bug fixes (weight_decay, IQN PER,
q_value_std, 54/51 dim mismatch), train/eval parity (TradeExecutor,
checkpoint validation), SOTA improvements (differential Sharpe, PQN
LayerNorm, temporal PER, dormant neuron resets), and search space cleanup.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-03-03 20:40:46 +01:00

..

infra

feat(infra): GPU training launcher with local/cloud routing

2026-02-23 11:19:58 +01:00

plans

docs: add DQN production hardening design

2026-03-03 20:40:46 +01:00