Track manipulation, locomotion and embodied systems.
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Unknown GP hyperparameters can drastically distort tail-risk estimates in CVaR optimization, but a new algorithm robustly navigates this uncertainty to achieve near-oracle performance.
Transferring latent group priors across cohorts eliminates the standard bandit cold-start penalty while actively preventing the premature catalog exhaustion that plagues real-world deployments.