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Release Notes

v0.2.0 - Hardened AutoDrive And Full-Config Preview

This release documents and publishes the hardened pipeline after the large strategy update.

Highlights

  • Added route-aware terminations: offroute, noprogress, and route_complete.
  • Added strange-situation guards for stale telemetry, paused/menu states, frozen capture frames, teleport jumps, long GPU-stall ticks, and slow-but-advancing motion.
  • Reworked AutoDrive recovery around the observed FH6 behavior:
    • far off-road can show a Fast Travel Warning / transfer prompt
    • on-road stuck states usually have no prompt and AutoDrive drives back
    • confirm A is only sent while the car is positionally frozen, which fixes the case where coast-down after a crash blocked the confirm press
    • a drivable parallel road is accepted instead of teleporting a fine car
    • when every recovery option is exhausted the run pauses for manual help instead of crashing the training process
  • Added forza_full Dreamer config for larger world-model training when GPU headroom is available.
  • Added train_dreamer.py --config so forza and forza_full are selectable.
  • Redrew the README diagrams (hero, architecture, recovery loop, hardening stack) with a consistent visual language.
  • Added stress tests for NaN/inf handling, malformed packets, teleport jumps, route seams, braking-vs-impact, route ends, offroute, noprogress, and stuck edge cases.
  • Updated the public README and SVG diagrams to match the current stack.

Validation

python -m unittest discover -s tests -v
python -m py_compile recovery.py recovery_demo.py forza_rl_env.py train_dreamer.py reset_test.py offline_pretrain_dreamer.py

At publication time, the suite contains 55 tests.

Notes

  • forza_full should only be used after reducing FH6 GPU pressure and verifying that VRAM does not spill into shared system memory.
  • A waypoint must be pinned for AutoDrive recovery.
  • Teleport recoveries keep training alive but are not saved as dynamics demos.

v0.1.0 - Public Research Preview

Initial public-ready snapshot.

Highlights

  • Real-time Forza Horizon driving environment built from screen capture, Data Out telemetry, and virtual Xbox controller input.
  • DreamerV3 integration through a reproducible vendor patch for NM512/dreamerv3-torch.
  • Low-VRAM workflow with offline replay pretraining.
  • Centerline-aware reward for route progress.
  • Crash, stuck, flipped and off-road detection.
  • AutoDrive recovery demonstrations for smooth non-teleport recoveries.
  • Public documentation and SVG diagrams.