Author

Denis Tarasov

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Preprint Aug 2026

ReBRAC-v2: The Return of the King

ReBRAC-v2 is introduced, which directly trains an exact-likelihood normalizing flow as the RL actor, combines likelihood, MSE, and MAE behavior regularization, and integrates a classification-based residual critic, staged optimization, and multi-sample test-time action selection, and ranks first in eight categories.

Denis Tarasov, Robert K. Katzschmann · 0 citations