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6 Commits

Author SHA1 Message Date
jgrusewski
856e89da1f chore(claude): foxhunt audit hook router (warn-only PostToolUse) 
Adds .claude/helpers/foxhunt-audit-router.sh that suggests foxhunt-* auditor
agents based on edited file path. Warn-only, <200ms, never blocks. Dedup
state file .claude/.foxhunt-audit-state cleared at SessionStart by sibling
script. Settings.json additive merge — existing hooks preserved.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-10 22:19:28 +02:00
jgrusewski
dff6e666ee feat(sp15-p2a.2): oracle policies + evaluator harness + pre-commit hook 
Phase 2A scaffolding complete (per spec §7.2):
- oracle.rs: OracleAction enum + 3 oracle policies (flat, drift, OU)
- harness.rs: BehavioralResult + evaluate_policy_on_market stub.
   Trainer-side methods (eval_actions_on_features, read_isv_for_test)
   are documented gap #7; Phase 2B tests add them per-test as needed.
- pre-commit hook: cargo test -p ml --test behavioral_suite gates
   argo-train.sh per spec §4.5 discipline rule.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-06 11:29:22 +02:00
jgrusewski
12fdd18223 refactor: remove entire CPU training path — 5,307 lines of dead code 
Deleted:
- DQN::compute_loss_internal (280 lines) — old Candle forward+loss
- DQN::train_step (55 lines) — old Candle training step
- DQN::compute_gradients (47 lines) — old gradient accumulation
- ComputeLossResult struct — only used by deleted functions
- RegimeConditionalDQN::train_step (65 lines) — old dispatch
- RegimeConditionalDQN::train_step_gpu_regime (100 lines) — old GPU path
- RegimeConditionalDQN::compute_gradients_gpu (130 lines) — old regime gradients
- RegimeConditionalDQN::compute_gradients (92 lines) — old dispatch
- DQNAgentType::train_step dispatch — dead
- DQNAgentType::compute_gradients dispatch — dead
- GpuDqnTrainer::upload_batch (71 lines) — old CPU→GPU upload
- train_step.rs (500 lines) — entire module including ensure_fused_ctx
- dqn_benchmark.rs — used old train_step
- examples.rs — used old train_step
- validation/adapters.rs (289 lines) — used old train_step
- dqn/trainable_adapter.rs — used old train_step
- gpu_smoketest.rs — tested old train_step
- Gradient accumulation path in training_loop.rs (144 lines)
- IQN d_h_s2().clone() → raw pointer (zero alloc)
- Causal intervention format! string alloc removed
- Dead HER relabel functions (320 lines)

Kept:
- ensure_fused_ctx logic inlined into training_loop.rs
- set_noise_sigma_scale re-added to RegimeConditionalDQN

Fixed:
- GpuReplayBuffer max_batch_size wired from batch_size parameter
  (was hardcoded 1024, blocking batch_size=8192)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-02 09:06:23 +02:00
jgrusewski
affad04e22 feat: CUDA kernel guard + ruflo hooks for subagent monitoring 
Add scripts/cuda-kernel-guard.sh — catches CPU/host leaks in .cu files:
printf, cudaMalloc/Free, host API calls, double-precision math (exp/log
instead of expf/logf), assert, file I/O. Filters comments and trailing
/* */ annotations. Zero false positives across 38 production kernels.

Extend gpu-hotpath-hook.sh to route .cu/.cuh files to the new guard.

Configure ruflo hooks in .claude/settings.json: pre-edit context loading,
post-edit pattern learning, post-command metrics, session-end persistence.
Fires for subagents too via Claude Code hook system.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-03-31 01:33:31 +02:00
jgrusewski
4709ca8bc2 feat(dqn): enable Branching DQN with 45 factored actions (5×3×3) 
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>
 2026-03-11 22:00:13 +01:00
jgrusewski
2c1acda2f3 feat: DQN Rainbow enhancements with hyperopt results and test coverage 
- Update DQN trainer with gradient collapse detection warmup
- Add portfolio tracker improvements
- Include hyperopt trial results (multiple Sharpe ratio experiments)
- Add new test files for action/position sign convention, early stopping,
  cash reserve bugs, and portfolio execution
- Update trained model files
- Add Claude Code configuration and skills

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-27 14:45:25 +01:00