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Any2Track: Multi-Expert Policy Distillation for General Motion Tracking in Humanoid Robots

Any2Track addresses the difficulty of a single reinforcement learning policy handling vastly different motions such as dancing, fighting, and getting up from a fall. It uses a two-stage approach: first training specialized teachers by cluster, then using DAgger to aggregate the teachers' behaviors into a single student network, and it presents G1 simulation comparison results.

Part of the event: Any2Track: A Multi-Expert Distillation Approach for Humanoid Robot Motion Tracking

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