- Rebuilt donkeycar_sb3_runner.py: real PPO/DQN model.learn() + evaluate_policy() + model.save() - Added SpeedRewardWrapper: reward = speed * (1 - |cte|/max_cte) - Added ChampionTracker: tracks best model across all trials, writes manifest.json - Rebuilt autoresearch_controller.py: Phase 1 results separated from random-policy data - Added timesteps to GP search space - Added --push-every N for automatic git push - Added 37 passing tests: discretize_action, reward_wrapper, autoresearch_controller, runner_integration - Scaffolded project with agent harness (large mode): PROJECT-SPEC, DECISIONS, IMPLEMENTATION_PLAN, EXECUTION_MASTER - Fixed: model.save() never called before model is defined (was root cause of all prior NameError crashes) - Fixed: random policy replaced with real trained policy evaluation Agent: pi/claude-sonnet Tests: 37/37 passing Tests-Added: +37 TypeScript: N/A |
||
|---|---|---|
| .harness | ||
| agent | ||
| 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