Restore 45-action factored space via Branching DQN (Tavakoli 2018), outputting 11 Q-values (5+3+3) instead of 45. This was reduced to 5 exposure-only actions during debugging and was never intended as permanent. - Enable use_branching: true by default in DQNConfig and DQNHyperparameters - Add branching paths to select_action_with_confidence and select_action_inference - Update agent.rs select_action_factored for branching-aware selection - Expand CountBonus to per-branch tracking with bonuses_branched() - Add order_type + urgency distribution tracking in monitoring - Add DQN_ORDER_ACTIONS=3, DQN_URGENCY_ACTIONS=3, DQN_TOTAL_ACTIONS=45 to CUDA header - Fix 7 pre-existing clippy doc_markdown errors in regime_conditional.rs - Fix pre-existing cognitive_complexity in replay_buffer_type.rs (extract helpers) - Fix flaky GPU test OOM under parallel execution (CPU fallback + test VRAM safety) - Delete unused flash_attention submodules (block_sparse, causal_masking, etc.) - Add GPU hot-path guard scripts and ensemble/hyperopt adapter improvements Tests: ml-dqn 416/0, ml 905/0, clippy 0 errors on both crates Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2.9 KiB
Executable File
2.9 KiB
Executable File