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20172025
most citedClassical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary

30 citations · 85 across the 17 of their papers we have counts for

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cs.AI2025

Bilevel MCTS for Amortized O(1) Node Selection in Classical Planning

Masataro Asai

We study an efficient implementation of Multi-Armed Bandit (MAB)-based Monte-Carlo Tree Search (MCTS) for classical planning. One weakness of MCTS is that it spends a significant t…