Oct 18, 2010 · We compare nested Monte Carlo (NMC) search, upper confidence bounds for trees (UCT-T), UCT with transposition tables (UCT+T), and a simple ...
Abstract—Monte-Carlo tree search has recently been very successful for game playing particularly for games where the evaluation of a state is difficult to ...
Abstract—Monte Carlo tree search (MCTS) has been recently very successful for game playing, particularly for games where the.
Combining UCT and Nested Monte-Carlo Search for Single-Player General Game Playing. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 2 ...
In many games, moves consist of several decisions made by the player. These de- cisions can be sometimes viewed as separate moves, which is a common ...
We present a game engine for general game playing based on UCT, a combination of Monte-Carlo and tree search. The resulting program is named ARY.
The execution time of Nested Monte-Carlo Search for Morpion Solitaire, a single-player game, increases exponentially with the level of the nested search.
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Combining UCT and Nested Monte-Carlo Search for Single-Player General Game Playing. IEEE Transactions on Computational Intelligence and AI in Games, Vol. 2 ...
Cazenave, “Combining UCT and Nested Monte Carlo. Search for single-player general game playing,” IEEE Transactions on. Computational Intelligence and AI in ...
Jan 19, 2024 · Nested Monte Carlo Search (NMCS) [6] is an algorithm that works well for puzzles and combinatorial problems. It biases its playouts using ...