ONNX policies for a Unitree H2 humanoid learning tennis in MuJoCo, trained on Kaggle (MJX float32, brax PPO) and checked in a float64 CPU MuJoCo oracle. - index.json - what's here and which policy is best. - best/ - the policy the ATH site shows: policy.onnx, spec.json (exact obs/action layout), metadata.json (validation results). - ball-contact/latest/, ball-contact/best/ - written live by the training kernel after every eval. - stand/v3/ - first stand policy. Display only: it fails the float64 oracle (falls within 3 s under pushes). Metadata reports validation honestly. A policy is only called validated if it passed the float64 oracle.
Independent publisher
Daniel Harkin
danielharkin21
Models in Library1
Datasets in Library0
Models on Hugging Face8
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Published tasks: Reinforcement learning.
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