Warm-starts from exp26/best_model (best road model) and fine-tunes on donkey-generated-track-v0 (shadows, trees) at LR=0.00005. Adds N_THROTTLE=3 variable throttle to force learning corner braking. 50k steps, eval on mini-monaco (zero-shot) at completion. Goal: visual diversity + throttle variation → better mini-monaco generalization. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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| .harness | ||
| agent | ||
| docs | ||
| tests | ||
| .gitignore | ||
| AGENT.md | ||
| CLAUDE.md | ||
| DECISIONS.md | ||
| IMPLEMENTATION_PLAN.md | ||
| PROJECT-KICKOFF.md | ||
| PROJECT-SPEC.md | ||
| README.md | ||
| create_gitea_repo.py | ||
| monitor_training.sh | ||
| ralph-loop.sh | ||
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