Consistency with other models's configs
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@ -7,6 +7,20 @@
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seed: 100000
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dataset_repo_id: lerobot/pusht
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override_dataset_stats:
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# TODO(rcadene, alexander-soare): should we remove image stats as well? do we use a pretrained vision model?
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observation.image:
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mean: [[[0.5]], [[0.5]], [[0.5]]] # (c,1,1)
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std: [[[0.5]], [[0.5]], [[0.5]]] # (c,1,1)
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# TODO(rcadene, alexander-soare): we override state and action stats to use the same as the pretrained model
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# from the original codebase, but we should remove these and train our own pretrained model
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observation.state:
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min: [13.456424, 32.938293]
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max: [496.14618, 510.9579]
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action:
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min: [12.0, 25.0]
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max: [511.0, 511.0]
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training:
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offline_steps: 200000
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online_steps: 0
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@ -41,20 +55,6 @@ eval:
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n_episodes: 50
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batch_size: 50
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override_dataset_stats:
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# TODO(rcadene, alexander-soare): should we remove image stats as well? do we use a pretrained vision model?
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observation.image:
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mean: [[[0.5]], [[0.5]], [[0.5]]] # (c,1,1)
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std: [[[0.5]], [[0.5]], [[0.5]]] # (c,1,1)
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# TODO(rcadene, alexander-soare): we override state and action stats to use the same as the pretrained model
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# from the original codebase, but we should remove these and train our own pretrained model
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observation.state:
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min: [13.456424, 32.938293]
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max: [496.14618, 510.9579]
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action:
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min: [12.0, 25.0]
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max: [511.0, 511.0]
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policy:
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name: vqbet
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