most citedScale-Adaptive Balancing of Exploration and Exploitation in Classical Planning

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cs.AI2026

Extreme Value Monte Carlo Tree Search for Classical Planning

Masataro Asai, Stephen Wissow

Despite being successful in board games and reinforcement learning (RL), Monte Carlo Tree Search (MCTS) combined with Multi Armed Bandits (MABs) has seen limited success in domain-…

cs.AI2026★ 1 cited

Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning

Stephen Wissow, Masataro Asai

Balancing exploration and exploitation has been an important problem in both game tree search and automated planning. However, while the problem has been extensively analyzed withi…