1 citations · 1 across the 2 of their papers we have counts for
2 papers
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…