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donkeycar-rl-autoresearch
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Research-grade DonkeyCar RL autoresearch and sweep system.
57 Commits 1 Branch 0 Tags 207 MiB
Python 94.3%
Shell 5.7%
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Paul Huliganga a3a49fbcaf feat: eval_on_track.py — proper zero-shot eval on any track 
The goal is a model that generalises to ANY road-surface track, not
specifically mini_monaco.  mini_monaco (tight barriers, hairpins) was
a bad proxy for this.  Generated_road is a much better zero-shot test:
same visual category, never seen during Wave 4 training.

eval_on_track.py lets us run the Wave 4 champion on any track with
the same wrappers used during training, plus shuttle-exploit detection.

Run after Trial 25 finishes:
  python3 agent/eval_on_track.py     --model agent/models/wave4-champion/model.zip     --track donkey-generated-roads-v0     --episodes 3 --max-steps 3000

Agent: pi
Tests: 102 passed
Tests-Added: 0
TypeScript: N/A
 		2026-04-16 19:47:56 -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 feat: eval_on_track.py — proper zero-shot eval on any track 2026-04-16 19:47:56 -04:00
docs wave3: add multi-track autoresearch system (83 tests passing) 2026-04-14 12:47:12 -04:00
tests fix: StuckTerminationWrapper + deque import + 102 tests 2026-04-15 09:17:27 -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-013 through ADR-016 — decisions that were lost to context compaction 2026-04-15 22:34:48 -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