Files
foxhunt/crates/ml
jgrusewski 752e19656a cleanup: remove dead bf16 buffers + update FactoredAction docs for 4-branch
- Delete 3 unused bf16 scratch buffers (exp_h_b0/b1/b2) from
  GpuExperienceCollector — allocated VRAM but never read.
  The f32 versions (exp_h_b0_f32 etc.) remain in use.
- Fix stale doc comments: 45 actions -> 81 actions, index range 0-44 -> 0-80
- Extend round-trip tests to cover all 81 action indices
- Add TODO for future 4-branch struct refactor (direction + magnitude fields)
  — 64 callers make it too invasive for this commit.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-08 19:52:20 +02:00
..

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 aggregation
  • hyperopt — PSO-based hyperparameter optimization with per-model adapters
  • trainers — unified training loops (DQN, PPO, supervised)
  • inferenceInferenceAdapter trait for prediction
  • checkpoint — model checkpointing and restoration
  • evaluation — walk-forward evaluation pipeline

Usage

use ml::dqn::DQN;
use ml::ppo::PpoTrainer;