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Test25_1820

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Johnny Fernandes
2026-04-25 17:19:02 +00:00
parent 16878c5a0b
commit 5005128c07
5 changed files with 91 additions and 0 deletions
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training/runs/expC_clustered.log
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Config: {'W_PER_SHEEP': 1.0, 'W_ALIGN': 0.0, 'W_PEN_BONUS': 5.0, 'W_STEP_COST': 0.02, 'W_COMPLETE': 200.0, 'W_COMPACT': 1.5, 'ALIGN_SHAPE': 'standoff', 'ALIGN_GATED': False, 'ent_coef': 0.02}
Run dir: runs/expC_clustered
Curriculum: 1 → 3 sheep, 1,000,000 steps/stage
[Stage n_sheep=1] training 1,000,000 steps
... [trial 1 | 1 sheep | 100,000 steps | ret(last 50)=-17.04 sr=6%]
... [trial 1 | 1 sheep | 200,000 steps | ret(last 50)=-17.39 sr=4%]
... [trial 1 | 1 sheep | 300,000 steps | ret(last 50)=-15.50 sr=4%]
... [trial 1 | 1 sheep | 400,000 steps | ret(last 50)=-2.07 sr=26%]
... [trial 1 | 1 sheep | 500,000 steps | ret(last 50)=+3.81 sr=52%]
... [trial 1 | 1 sheep | 600,000 steps | ret(last 50)=+8.03 sr=76%]
... [trial 1 | 1 sheep | 700,000 steps | ret(last 50)=+9.49 sr=86%]
... [trial 1 | 1 sheep | 800,000 steps | ret(last 50)=+9.42 sr=88%]
... [trial 1 | 1 sheep | 900,000 steps | ret(last 50)=+9.49 sr=88%]
... [trial 1 | 1 sheep | 1,000,000 steps | ret(last 50)=+10.34 sr=94%]
[Stage n_sheep=1] evaluating 30 eps
[Stage n_sheep=1] sr=83% mean_len=519 mean_min_pen=3.5m mean_act=0.25
[Stage n_sheep=2] training 1,000,000 steps
... [trial 1 | 2 sheep | 1,015,816 steps | ret(last 0)=+nan sr=nan%]
... [trial 1 | 2 sheep | 1,115,816 steps | ret(last 50)=-0.13 sr=10%]
... [trial 1 | 2 sheep | 1,215,816 steps | ret(last 50)=-1.23 sr=10%]
... [trial 1 | 2 sheep | 1,315,816 steps | ret(last 50)=-0.10 sr=6%]
... [trial 1 | 2 sheep | 1,415,816 steps | ret(last 50)=+4.10 sr=28%]
... [trial 1 | 2 sheep | 1,515,816 steps | ret(last 50)=+6.24 sr=32%]
... [trial 1 | 2 sheep | 1,615,816 steps | ret(last 50)=+8.48 sr=52%]
... [trial 1 | 2 sheep | 1,715,816 steps | ret(last 50)=+14.14 sr=98%]
... [trial 1 | 2 sheep | 1,815,816 steps | ret(last 50)=+14.33 sr=98%]
... [trial 1 | 2 sheep | 1,915,816 steps | ret(last 50)=+14.02 sr=100%]
... [trial 1 | 2 sheep | 2,015,816 steps | ret(last 50)=+14.05 sr=100%]
[Stage n_sheep=2] evaluating 30 eps
[Stage n_sheep=2] sr=100% mean_len=695 mean_min_pen=3.4m mean_act=0.58
[Stage n_sheep=3] training 1,000,000 steps
... [trial 1 | 3 sheep | 2,031,624 steps | ret(last 0)=+nan sr=nan%]
... [trial 1 | 3 sheep | 2,131,624 steps | ret(last 50)=+10.43 sr=56%]
... [trial 1 | 3 sheep | 2,231,624 steps | ret(last 50)=+13.91 sr=74%]
... [trial 1 | 3 sheep | 2,331,624 steps | ret(last 50)=+13.98 sr=76%]
... [trial 1 | 3 sheep | 2,431,624 steps | ret(last 50)=+12.67 sr=68%]
... [trial 1 | 3 sheep | 2,531,624 steps | ret(last 50)=+15.79 sr=90%]
... [trial 1 | 3 sheep | 2,631,624 steps | ret(last 50)=+16.29 sr=94%]
... [trial 1 | 3 sheep | 2,731,624 steps | ret(last 50)=+15.47 sr=90%]
... [trial 1 | 3 sheep | 2,831,624 steps | ret(last 50)=+16.67 sr=96%]
... [trial 1 | 3 sheep | 2,931,624 steps | ret(last 50)=+17.50 sr=100%]
... [trial 1 | 3 sheep | 3,031,624 steps | ret(last 50)=+16.49 sr=96%]
[Stage n_sheep=3] evaluating 30 eps
[Stage n_sheep=3] sr=90% mean_len=794 mean_min_pen=3.7m mean_act=0.47
============================================================
REPLAY SUMMARY
============================================================
n_sheep=1 sr= 83% len= 519 min_pen= 3.5m act=0.25
n_sheep=2 sr=100% len= 695 min_pen= 3.4m act=0.58
n_sheep=3 sr= 90% len= 794 min_pen= 3.7m act=0.47
Total time: 15.1 min
Artefacts: runs/expC_clustered/
training/runs/expC_clustered/config.json
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{
"W_PER_SHEEP": 1.0,
"W_ALIGN": 0.0,
"W_PEN_BONUS": 5.0,
"W_STEP_COST": 0.02,
"W_COMPLETE": 200.0,
"W_COMPACT": 1.5,
"ALIGN_SHAPE": "standoff",
"ALIGN_GATED": false,
"ent_coef": 0.02
}
training/runs/expC_clustered/final_model.zip
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training/runs/expC_clustered/stage_results.json
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[
{
"n_sheep": 1,
"sr": 0.8333333333333334,
"mean_len": 518.5333333333333,
"mean_min_pen": 3.5244259238243103,
"mean_act": 0.25044742608759274
},
{
"n_sheep": 2,
"sr": 1.0,
"mean_len": 694.9,
"mean_min_pen": 3.4314632336298625,
"mean_act": 0.5796192060058971
},
{
"n_sheep": 3,
"sr": 0.9,
"mean_len": 794.1333333333333,
"mean_min_pen": 3.6645382324854534,
"mean_act": 0.46590614892287907
}
]
training/runs/expC_clustered/vecnorm.pkl
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