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The Right Future for Action: Learning Action-Relevant Predictive States in World Action Models
Generation-free world action models (WAMs) retain future-video prediction during training but act from internal video features at inference, leaving unclear what these features should preserve for control. Our representation diagnostics show that representations with more predictable future changes
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