Staircase Policy: Streaming Inference for World-Action Models with Large Action Chunks
World-Action Models (WAMs) improve robotic manipulation by conditioning action generation on predicted future observations, but future prediction adds further inference overhead to already expensive iterative action generation. Action chunking can amortize this cost over multiple actions, yet performance degrades over...
Guoheng Sun, Chen Chen, Jin Wang et al.
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