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Introduction of push_erasor_to_square_reward_classifier
Model Details of push_erasor_to_square_reward_classifier
Model Card for reward_classifier
A reward classifier is a lightweight neural network that scores observations or trajectories for task success, providing a learned reward signal or offline evaluation when explicit rewards are unavailable.
This policy has been trained and pushed to the Hub using
LeRobot
.
See the full documentation at
LeRobot Docs
.
How to Get Started with the Model
For a complete walkthrough, see the
training guide
.
Below is the short version on how to train and run inference/eval:
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