gamevla / csbc /EVAL.md
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CS2 VLA baselines + evaluation docs
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# csbc — evaluation
CNN + discrete-mouse BC baseline. Weights: `steps_5000.pt` (best eval), `steps_15000.pt` (final).
Full guide + prerequisites: [../EVALUATION.md](../EVALUATION.md).
Run (from inside this folder; game server + client already up — see EVALUATION.md steps 1–2):
```bash
mkdir -p run/checkpoints && cp config.yaml dataset_statistics.json run/ && cp steps_5000.pt run/checkpoints/
python -m gamevla.envs.eval.run_eval \
--env cs2/5e_mirage_prefire/connector_to_a_site --endpoint <host:port> \
--policy examples.CS2.csbc.evaluation.policy:build_policy \
--policy-kwargs '{"ckpt":"run/checkpoints/steps_5000.pt","port":10093,"sensitivity":1.0}' \
--episodes 3 --bot-count 5
```
Defaults (policy.py): `steps_per_bin=2`, `history_len=1`. Mouse auto-derived from `sensitivity`;
add `"invert_dx":true` / `"invert_dy":true` if a flick turns the wrong way.