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searching for Monte Carlo tree search 7 found (211 total)

Michèle Sebag (357 words) [view diff] exact match in snippet view article find links to article

2019. Gelly, Sylvain, et al. "The grand challenge of computer Go: Monte Carlo tree search and extensions." Communications of the ACM 55.3 (2012): 106–113

Auto-WEKA (538 words) [view diff] no match in snippet view article find links to article

Marc; Sebag, Michèle (2019). "Automated Machine Learning with Monte-Carlo Tree Search". Proceedings of the Twenty-Eighth International Joint Conference

Utility system (1,255 words) [view diff] case mismatch in snippet view article find links to article

high-level strategic orders in a team-based tactical game, while Monte Carlo Tree Search (MCTS) was employed to execute these orders at the tactical level

Optimal computing budget allocation (5,035 words) [view diff] case mismatch in snippet view article find links to article

best design, enhancing decision-making in dynamic environments. Monte Carlo Tree Search (MCTS): A 2020 study proposed an OCBA-based tree policy for MCTS

Samuel Gan (1,986 words) [view diff] case mismatch in snippet view article find links to article

"Optimal processing for gel electrophoresis images: Applying Monte Carlo Tree Search in GelApp". Electrophoresis. 37 (15–16): 2208–2216. doi:10.1002/elps

Hex (board game) (4,408 words) [view diff] exact match in snippet view article

about 2006, the field of computer Hex came to be dominated by Monte Carlo tree search methods borrowed from successful computer implementations of Go

Moonshot AI (1,201 words) [view diff] exact match in snippet view article find links to article

optimization methods were key, without relying on complex techniques like Monte Carlo tree search, value functions, and process reward models. Baichuan MiniMax Zhipu