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Budgeted adaptation under opponent shift can be solved by dual-counterfactual control that explicitly balances immediate adaptation value against future adaptation loss and local strategic risk.
Multimodal agents can now acquire evidence with verifiable optimality guarantees, reducing costly interactions by 90% while maintaining high decision accuracy.