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Merge pull request #51 from vincentzhang:main
PiperOrigin-RevId: 725371773 Change-Id: I83058caf6457e2b96b7f52f900f5fb62e018de1e
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learning/notebooks/locomotion.ipynb

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"id": "v5p0Z3PPSRik"
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"source": [
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"Notive that the above policy looks jittery and unlikely to transfer on the robot. The max power outut is also quite high.\n",
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"Notice that the above policy looks jittery and unlikely to transfer on the robot. The max power output is also quite high.\n",
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"The sim-to-real deployment of the handstand policy was trained using a curriculum on the `energy_termination_threshold`, `energy` and `dof_acc`, which are config values that penalize high torques and high power output. Let's finetune the above policy with a decreased `energy_termination_threshold`, as well as non-zero values for `energy` and `dof_acc` rewards to get a smoother policy."
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