mirror of
https://github.com/jcreek/CosmicClash.git
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Josh Creek
fca6a46200
Re-ran stage-3 (curric-s3-no_draws vs curric-s2-defend) and the missing stage-4 gate now that the locomotion-mask inference bugfix is in. Both reverse or contradict the pre-fix bookkeeping: curric-s2-defend (grounded) beats curric-s3-no_draws 60-26 and curric-s4-mechanics 57-24 when fairly evaluated, so lifting the locomotion mask in stage 3 was a real regression in floor play, not the improvement the buggy eval reported. Adds a stage-5 "aggression" curriculum entry that resumes from stage 2 directly (via new resume_from_experiment/reference_experiment stage-dict overrides in curriculum.py) instead of compounding the regression through stages 3-4, keeps the locomotion mask on, and retunes ball-pursuit reward weights for much more aggressive floor play. Extends train.py with the three new --velocity-to-ball-weight/--ball-distance-penalty/--ball-touch-reward flags needed to forward that retune to Godot's existing SHIP_AI_OVERRIDES. curriculum_state.json and TRAINING.md are corrected/annotated in place rather than silently rewritten, so the regression stays visible in history.
74 lines
2.9 KiB
JSON
74 lines
2.9 KiB
JSON
{
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"stage_index": 4,
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"attempt": 0,
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"status": "in_progress",
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"log": [
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{
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"stage_index": 0,
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"experiment": "curric-s1-score",
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"attempt": 0,
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"eval": {
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"timestamp": "2026-07-21T15:52:20+00:00",
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"model_a": "/home/jcreek/ai-training/CosmicClash/Game/bots/curric-s1-score.json",
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"model_b": "/home/jcreek/ai-training/CosmicClash/Game/bots/rookie.json",
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"episodes": 100,
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"wins_a": 22,
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"wins_b": 16,
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"draws": 62,
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"win_rate_a": 0.22
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},
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"decision": "pass"
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},
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{
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"stage_index": 1,
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"experiment": "curric-s2-defend",
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"attempt": 0,
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"eval": {
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"timestamp": "2026-07-21T18:19:44+00:00",
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"model_a": "/home/jcreek/ai-training/CosmicClash/Game/bots/curric-s2-defend.json",
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"model_b": "/home/jcreek/ai-training/CosmicClash/Game/bots/curric-s1-score.json",
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"episodes": 100,
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"wins_a": 23,
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"wins_b": 16,
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"draws": 61,
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"win_rate_a": 0.23
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},
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"decision": "pass"
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},
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{
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"stage_index": 2,
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"experiment": "curric-s3-no_draws",
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"attempt": 0,
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"eval": {
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"timestamp": "2026-07-22T11:36:42+00:00",
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"model_a": "/Users/jcreek/Documents/repos/GitHub/CosmicClash/Game/bots/curric-s3-no_draws.json",
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"model_b": "/Users/jcreek/Documents/repos/GitHub/CosmicClash/Game/bots/curric-s2-defend.json",
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"episodes": 100,
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"wins_a": 26,
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"wins_b": 60,
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"draws": 14,
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"win_rate_a": 0.26
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},
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"decision": "fail",
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"note": "Original eval (44-19, recorded 2026-07-21T20:46:34) predates the locomotion-mask inference bugfix (8c15c46) and ran with the grounded stage-2 reference unfairly unmasked. Re-run post-fix with --grounded-b reverses the verdict: stage 3's full-3D unmask is a clear regression from stage 2, not an improvement. Not retried via the normal flag-retry mechanism — see stage_index 4 (aggression), which redirects around this branch by resuming from curric-s2-defend directly instead."
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},
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{
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"stage_index": 3,
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"experiment": "curric-s4-mechanics",
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"attempt": 0,
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"eval": {
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"timestamp": "2026-07-22T11:38:57+00:00",
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"model_a": "/Users/jcreek/Documents/repos/GitHub/CosmicClash/Game/bots/curric-s4-mechanics.json",
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"model_b": "/Users/jcreek/Documents/repos/GitHub/CosmicClash/Game/bots/curric-s3-no_draws.json",
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"episodes": 100,
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"wins_a": 26,
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"wins_b": 33,
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"draws": 41,
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"win_rate_a": 0.26
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},
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"decision": "pass",
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"note": "Passes only against its own (already-regressed) predecessor, curric-s3-no_draws. Evaluated directly against grounded curric-s2-defend (2026-07-22T11:40:07), curric-s4-mechanics also loses clearly: 24-57-19. Do not treat this stage's 'pass' as evidence curric-s4-mechanics is the strongest available model overall — see stage 2's note and stage_index 4 (aggression)."
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}
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]
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}
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