RESULTS: T20 (champion): ✅ Generated Road only (1/10 tracks) T08: ✅ Generated Road only (1/10 tracks) T18: ❌ All tracks crash (0/10) — even new Generated Road layout! Robo Racing League: best unseen result (116 steps) — visual similarity to generated_road? Thunderhill: not available in this simulator version KEY FINDING: Models are visually overfit to generated_road CNN features. All unseen tracks crash within 40-116 steps (vs 2200+ on trained track). This is the expected Phase 2→3 transition point. WAVE 3 STRATEGY (documented in RESEARCH_LOG.md): Stage 1: generated_road ↔ generated_track (same geometry, different visuals) Stage 2: + mountain_track (different geometry) Stage 3: all tracks rotation (true generalization) Also fixed: multitrack_eval.py updated with only valid scene names (thunderhill removed — not in this simulator version) Agent: pi/claude-sonnet Tests: 53/53 passing 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