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Softmax gradient policy for variance minimization and risk-averse multi armed bandits.

arXiv:2604.00241v2 Announce Type: replace-cross Abstract: Algorithms for the Multi-Armed Bandit (MAB) problem play a central role in sequential decision-making and have been extensively explored both theoretically and numerically. While most classical approach

arXiv cs.AIResearch source·