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Multi-Modality

Humanoid Locomotion Transformer

This is an implementation of the robotic transformer for humanoid robots from the premier paper from berkely: "Real-World Humanoid Locomotion with Reinforcement Learning". Here we implement the state policy model which is an MLP/FFN and a Transformer model that intakes both history and action tokens to output the next action sequence.

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MIT

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Release files for hlt-torch 0.0.1

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