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Fix README since BreakOut pretrained model doesn't match the correct tensor shape. Therefore, Pong is used instead.

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2017-06-16 15:38:42 +08:00
parent 184440ffd3
commit 5e73387494
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README.md
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@@ -61,6 +61,7 @@ python -m baselines.deepq.experiments.atari.download_model
Once you pick a model, you can download it and visualize the learned policy. Be sure to pass `--dueling` flag to visualization script when using dueling models.
```bash
python -m baselines.deepq.experiments.atari.download_model --blob model-atari-prior-duel-breakout-1 --model-dir /tmp/models
python -m baselines.deepq.experiments.atari.enjoy --model-dir /tmp/models/model-atari-prior-duel-breakout-1 --env Breakout --dueling
python -m baselines.deepq.experiments.atari.download_model --blob model-atari-duel-pong-1 --model-dir /tmp/models
python -m baselines.deepq.experiments.atari.enjoy --model-dir /tmp/models/model-atari-duel-pong-1 --env Pong --dueling
```