40871595e8
Two clarity-only edits surfaced by code review: - Rename `cql_dev` → `cql_sx_dev` in `launch_loss_balance_controller`. The launcher uses `grad_decomp_result_dev_ptr + 6 * f32_size` which is the cql_sx (post-budget) slot, not cql (pre-budget at offset 3). The variable name now reflects that. - Add `// 213` inline annotation on `base_wiener_offset` to match the pattern used by all four sibling launchers (lines 11062, 11194, 11303). No semantic impact — pointer arithmetic and parameter order unchanged. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
ml
10-model ML ensemble for the Foxhunt HFT system, built on Candle v0.9.1.
Models
- DQN (Rainbow) — deep Q-network with prioritized replay, dueling heads, noisy nets
- PPO — proximal policy optimization with GAE, LSTM policies, clip-higher
- TFT — temporal fusion transformer for multi-horizon forecasting
- Mamba2 — state space model for sequence prediction
- Liquid Networks — biologically inspired networks for non-stationary data
- TLOB — transformer-based limit order book analysis
- KAN — Kolmogorov-Arnold networks
- xLSTM — extended LSTM architecture
- TGGN — temporal graph neural network
- Diffusion — diffusion-based generative model
Key Modules
ensemble— model ensemble coordination and confidence aggregationhyperopt— PSO-based hyperparameter optimization with per-model adapterstrainers— unified training loops (DQN, PPO, supervised)inference—InferenceAdaptertrait for predictioncheckpoint— model checkpointing and restorationevaluation— walk-forward evaluation pipeline
Usage
use ml::dqn::DQN;
use ml::ppo::PpoTrainer;