Supervised Training
Train a model from recorded gameplay and activate it for live play.
MLP-specific settings are shown only when MLP is selected.
How are "samples from rounds" calculated?
Each game session with n rounds contributes max(0, n - lookback) samples.
Checking training readiness...
Job Status
No active training job.
Benchmark Against Canonical Bots
Target: non-tie win rate of at least 0.60 across quincy, abbey, kris, and mrugesh.
API benchmarks use a 20-second runtime budget to avoid request timeouts. Use CLI for longer runs.
No benchmark run yet.
Model Registry
| ID | Name | Type | Test Accuracy | Active | Action |
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