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lerobot_piper/lerobot/configs/default.yaml
Alexander Soare 1a1308d62f fix environment seeding
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Co-authored-by: Simon Alibert <75076266+aliberts@users.noreply.github.com>

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Co-authored-by: Alexander Soare <alexander.soare159@gmail.com>

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Add test_examples.py
2024-03-26 10:10:43 +00:00

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YAML

defaults:
- _self_
- env: pusht
- policy: diffusion
hydra:
run:
dir: outputs/train/${now:%Y-%m-%d}/${now:%H-%M-%S}_${env.name}_${policy.name}_${hydra.job.name}
job:
name: default
seed: 1337
# batch size for TorchRL SerialEnv. Each underlying env will get the seed = seed + env_index
# NOTE: only diffusion policy supports rollout_batch_size > 1
rollout_batch_size: 1
device: cuda # cpu
prefetch: 4
eval_freq: ???
save_freq: ???
eval_episodes: ???
save_video: false
save_model: false
save_buffer: false
train_steps: ???
fps: ???
offline_prioritized_sampler: true
dataset_id: ???
n_action_steps: ???
n_obs_steps: ???
env: ???
policy: ???
wandb:
enable: true
# Set to true to disable saving an artifact despite save_model == True
disable_artifact: false
project: lerobot
notes: ""