Copper-Policy: Focus on the Representation for Robust Robot Manipulation
Copper-Policy is introduced, which learns a compact World representation with the policy rather than relying on a predefined target space and predicts future observation embeddings conditioned on task intention without reconstructing pixels through temporal joint-embedding prediction.
Ze Feng, Yi-Xu Feng, Ling-Yu Xiao et al.
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