← Lab
Evaluate actions beyond the dataset
CPU · Python 3.12.13 · 6.64 s · 2026-10-22 08:56:13 UTC+8
Saved run results
| Behavior.true_return | -0.04669926315546036 |
|---|
| Oracle.true_return | 0.0 |
|---|
{'train_samples': 4800, 'test_samples': 1200, 'observed_action_range': [-0.2136465311050415, 0.18843042850494385]}
Trained three seeds without collecting additional environment rewards.
{
"Naive Q": {
"true_returns": [
-0.13183709979057312,
-0.21818819642066956,
-0.057053759694099426
],
"support_gaps": [
0.5113945603370667,
0.6254499554634094,
0.3834943175315857
]
},
"Conservative": {
"true_returns": [
-0.05030469968914986,
-0.04521385580301285,
-0.04875820875167847
],
"support_gaps": [
0.021189402788877487,
0.01570889726281166,
0.013902311213314533
]
},
"Q + BC": {
"true_returns": [
-0.02849150076508522,
-0.026607640087604523,
-0.029490111395716667
],
"support_gaps": [
0.0489652082324028,
0.05315358191728592,
0.0440630204975605
]
},
"Behavior": {
"true_return": -0.04669926315546036
},
"Oracle": {
"true_return": 0.0
}
}
Optional exercise: fill answer and enable RUN_EXERCISE.
metrics.json
{
"Naive Q": {
"true_returns": [
-0.13183709979057312,
-0.21818819642066956,
-0.057053759694099426
],
"support_gaps": [
0.5113945603370667,
0.6254499554634094,
0.3834943175315857
]
},
"Conservative": {
"true_returns": [
-0.05030469968914986,
-0.04521385580301285,
-0.04875820875167847
],
"support_gaps": [
0.021189402788877487,
0.01570889726281166,
0.013902311213314533
]
},
"Q + BC": {
"true_returns": [
-0.02849150076508522,
-0.026607640087604523,
-0.029490111395716667
],
"support_gaps": [
0.0489652082324028,
0.05315358191728592,
0.0440630204975605
]
},
"Behavior": {
"true_return": -0.04669926315546036
},
"Oracle": {
"true_return": 0.0
}
}