AIBullisharXiv – CS AI · 15h ago7/10
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Variance-Aware Prior-Based Tree Policies for Monte Carlo Tree Search
Researchers introduce Inverse-RPO, a methodology for deriving prior-based tree policies in Monte Carlo Tree Search from first principles, and apply it to create variance-aware UCT algorithms that outperform PUCT without additional computational overhead. This advances the theoretical foundation of MCTS used in reinforcement learning systems like AlphaZero.