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donkeycar-rl-autoresearch/agent/outerloop-results
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Paul Huliganga 10719b4ff6 fix: save numbered checkpoint every segment, never overwrite 
Every training segment now saves checkpoint_NNNNNNN.zip so the
full training history is preserved on disk. No checkpoint is ever
overwritten. model.zip still updated for crash recovery.

After a 90k-step run with 13 segments you now have:
  checkpoint_0006851.zip   <- step 6,851
  checkpoint_0013702.zip   <- step 13,702
  ...
  checkpoint_0090000.zip   <- step 90,000
  best_model.zip           <- highest scoring segment (reloaded at end)
  model.zip                <- latest weights (crash recovery)

This means we can NEVER again lose a good mid-training model.
If the model was driving at step 30k, checkpoint_0030000.zip exists.

Agent: pi
Tests: 102 passed
Tests-Added: 0
TypeScript: N/A
 		2026-04-17 22:10:37 -04:00
..
model-000 Initial commit: stable RL sweep runner, legacy and new scripts, full docs included 2026-04-12 22:57:50 -04:00
model-001 Initial commit: stable RL sweep runner, legacy and new scripts, full docs included 2026-04-12 22:57:50 -04:00
model-002 Initial commit: stable RL sweep runner, legacy and new scripts, full docs included 2026-04-12 22:57:50 -04:00
model-003 Initial commit: stable RL sweep runner, legacy and new scripts, full docs included 2026-04-12 22:57:50 -04:00
autoresearch_log.txt AUTORESEARCH: 300 total trials complete - best mean_reward=141.85 at n_steer=8, n_throttle=5, lr=0.00202 2026-04-13 01:56:06 -04:00
autoresearch_phase1_log.txt milestone: Phase 1 complete — genuine driving confirmed; launch Phase 2 corner learning 2026-04-13 19:33:06 -04:00
autoresearch_phase1_log_CORRUPTED_circular_driving.txt fix: path-efficiency reward (v3) defeats circular driving exploit 2026-04-13 13:36:17 -04:00
autoresearch_phase1_log_CORRUPTED_reward_hacking.txt fix: hack-proof reward shaping + reward hacking detection + research log 2026-04-13 12:27:48 -04:00
autoresearch_phase2_log.txt fix: save numbered checkpoint every segment, never overwrite 2026-04-17 22:10:37 -04:00
autoresearch_phase3_log.txt fix: save numbered checkpoint every segment, never overwrite 2026-04-17 22:10:37 -04:00
autoresearch_phase4_log.txt feat: v5 reward — speed × CTE-quality, drop efficiency term 2026-04-17 13:25:38 -04:00
autoresearch_results.jsonl AUTORESEARCH: 300 total trials complete - best mean_reward=141.85 at n_steer=8, n_throttle=5, lr=0.00202 2026-04-13 01:56:06 -04:00
autoresearch_results_phase1.jsonl autoresearch: phase1 trial 50 results 2026-04-13 19:17:56 -04:00
autoresearch_results_phase1_CORRUPTED_circular_driving.jsonl fix: path-efficiency reward (v3) defeats circular driving exploit 2026-04-13 13:36:17 -04:00
autoresearch_results_phase1_CORRUPTED_reward_hacking.jsonl fix: hack-proof reward shaping + reward hacking detection + research log 2026-04-13 12:27:48 -04:00
autoresearch_results_phase2.jsonl autoresearch: phase1 trial 20 results 2026-04-14 04:35:45 -04:00
autoresearch_results_phase3.jsonl Wave 4: scratch training on generated_track + mountain_track, zero-shot mini_monaco 2026-04-14 22:40:38 -04:00
autoresearch_results_phase3_CONTAMINATED_v2.jsonl fix: complete LR override — must patch lr_schedule, not just param_groups 2026-04-14 21:27:43 -04:00
autoresearch_results_phase3_CONTAMINATED_wrong_lr.jsonl fix: LR override was not reaching the optimizer — all trials ran at 0.000225 2026-04-14 20:37:48 -04:00
autoresearch_results_phase4.jsonl wave3: autoresearch trial 25 results 2026-04-16 20:01:51 -04:00
clean_sweep_results.jsonl AUTORESEARCH: Full Karpathy-style GP+UCB meta-controller, clean base data, fixed all paths, ready to run 2026-04-13 00:52:00 -04:00
eval_summary.jsonl fix: track switching via unwrapped viewer.exit_scene() — automatic scene changes work 2026-04-14 10:04:15 -04:00
multitrack_results.jsonl results: complete multi-track generalization baseline — 1/10 tracks drivable pre-Wave3 2026-04-14 11:31:08 -04:00
nohup_outerloop.log Initial commit: stable RL sweep runner, legacy and new scripts, full docs included 2026-04-12 22:57:50 -04:00
outer_monitor.log Initial commit: stable RL sweep runner, legacy and new scripts, full docs included 2026-04-12 22:57:50 -04:00
sweep_results.jsonl Initial commit: stable RL sweep runner, legacy and new scripts, full docs included 2026-04-12 22:57:50 -04:00