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In the LIPS-PC parameterized policy, the DCT basis provides an information-rich initialization starting point, and the residual term Δ only needs to learn small task-relevant adjustments, thereby accelerating convergence and improving performance at low budgets; learning from a random matrix or zero matrix would significantly increase optimization difficulty.
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11/4/2026
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