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Remi Cadene
2024-07-10 14:11:53 +02:00
parent 68a561570c
commit dd7bce7563
11 changed files with 148 additions and 89 deletions
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lerobot/configs/policy/act_koch_real.yaml
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@@ -2,7 +2,7 @@
# Use `act_koch_real.yaml` to train on real-world datasets collected on Alexander Koch's robots.
# Compared to `act.yaml`, it contains 2 cameras (i.e. laptop, phone) instead of 1 camera (i.e. top).
# Also, `training.eval_freq` is set to -1. This config is used to evaluate checkpoints at a certain frequency of training steps.
# Also, `training.eval_freq` is set to -1. This config is used to evaluate checkpoints at a certain frequency of training steps.
# When it is set to -1, it deactivates evaluation. This is because real-world evaluation is done through our `control_robot.py` script.
# Look at the documentation in header of `control_robot.py` for more information on how to collect data , train and evaluate a policy.
#