Documents the root cause of losing the mountain_track model that was doing 20-second laps at step 30k but crashed at step 90k final eval. Phase 2 (13k steps, simple track): final = best. Assumption carried forward incorrectly into Wave 4 (90k steps, policy can drift). Mandatory rule: every training script uses train_multitrack() best_model tracking OR SB3 EvalCallback. No exceptions. Agent: pi Tests: 102 passed Tests-Added: 0 TypeScript: N/A |
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| .harness | ||
| agent | ||
| docs | ||
| tests | ||
| .gitignore | ||
| AGENT.md | ||
| DECISIONS.md | ||
| IMPLEMENTATION_PLAN.md | ||
| PROJECT-KICKOFF.md | ||
| PROJECT-SPEC.md | ||
| README.md | ||
| create_gitea_repo.py | ||
| 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