Research-grade DonkeyCar RL autoresearch and sweep system.
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Paul Huliganga 10719b4ff6 fix: save numbered checkpoint every segment, never overwrite
Every training segment now saves checkpoint_NNNNNNN.zip so the
full training history is preserved on disk. No checkpoint is ever
overwritten. model.zip still updated for crash recovery.

After a 90k-step run with 13 segments you now have:
  checkpoint_0006851.zip   <- step 6,851
  checkpoint_0013702.zip   <- step 13,702
  ...
  checkpoint_0090000.zip   <- step 90,000
  best_model.zip           <- highest scoring segment (reloaded at end)
  model.zip                <- latest weights (crash recovery)

This means we can NEVER again lose a good mid-training model.
If the model was driving at step 30k, checkpoint_0030000.zip exists.

Agent: pi
Tests: 102 passed
Tests-Added: 0
TypeScript: N/A
2026-04-17 22:10:37 -04:00
.harness feat: Wave 1 complete — real PPO training, model save, GP+UCB autoresearch, 37 tests passing 2026-04-13 10:03:15 -04:00
agent fix: save numbered checkpoint every segment, never overwrite 2026-04-17 22:10:37 -04:00
docs docs: ARCHITECTURE.md — complete system architecture guide 2026-04-17 14:06:38 -04:00
tests feat: v5 reward — speed × CTE-quality, drop efficiency term 2026-04-17 13:25:38 -04:00
.gitignore feat: Wave 1 complete — real PPO training, model save, GP+UCB autoresearch, 37 tests passing 2026-04-13 10:03:15 -04:00
AGENT.md feat: Wave 1 complete — real PPO training, model save, GP+UCB autoresearch, 37 tests passing 2026-04-13 10:03:15 -04:00
DECISIONS.md docs: ADR-017 — always save best model, never just latest 2026-04-17 16:03:59 -04:00
IMPLEMENTATION_PLAN.md feat: Phase 3 — behavioral control, enhanced evaluator, 53 tests 2026-04-14 09:28:43 -04:00
PROJECT-KICKOFF.md feat: Wave 1 complete — real PPO training, model save, GP+UCB autoresearch, 37 tests passing 2026-04-13 10:03:15 -04:00
PROJECT-SPEC.md feat: Wave 1 complete — real PPO training, model save, GP+UCB autoresearch, 37 tests passing 2026-04-13 10:03:15 -04:00
README.md feat: Wave 1 complete — real PPO training, model save, GP+UCB autoresearch, 37 tests passing 2026-04-13 10:03:15 -04:00
create_gitea_repo.py Initial commit 2026-04-12 23:44:36 -04:00
ralph-loop.sh feat: Wave 1 complete — real PPO training, model save, GP+UCB autoresearch, 37 tests passing 2026-04-13 10:03:15 -04:00

README.md

donkeycar-rl-autoresearch

Purpose

Status

  • Scaffolded with the agent harness
  • Spec not filled yet

Runbook

  • Fill PROJECT-SPEC.md
  • Create IMPLEMENTATION_PLAN.md from the spec
  • Start the implementation loop