Add to ORKGAbstract—We address the parallelization of a Monte-Carlo search algorithm. On a cluster of 64 cores we obtain a speedup of 56 for the parallelization of Morpion Solitaire. An algorithm that behaves better than a naive one on het-erogeneous clusters is also detailed
Monte-Carlo Tree Search (MCTS) is a new best-first search method that started a revolution in the fi...
We introduce the notion of expected hitting time to a goal as a measure of the con- vergence rate o...
Monte Carlo tree search is the state of the art for multiple games and for solving puzzles such as M...
Abstract—We address the parallelization of a Monte-Carlo search algorithm. On a cluster of 64 cores ...
We address the parallelization of a Monte-Carlo search algorithm. On a cluster of 64 cores we obtain...
International audienceWe address the parallelization of a Monte-Carlo search algorithm. On a cluster...
International audienceMonte-Carlo Tree Search is now a well established algorithm, in games and beyo...
AbstractWe introduce the notion of expected hitting time to a goal as a measure of the convergence r...
Monte Carlo Search algorithms can give excellent results for some combinatorial optimization problem...
Abstract. Monte-Carlo tree search is a powerful paradigm for the game of Go. We present a parallel M...
Abstract. Monte-Carlo tree search is a powerful paradigm for the game of Go. We present a parallel M...
The main objective of this graduation thesis is the parallelization of the program, the core of whic...
Abstract. We argue that Monte Carlo algorithms are ideally suited to parallel computing, and that “p...
International audienceWe provide a parallelization with and without shared-memory for Bandit-Based M...
Monte-Carlo Tree Search (MCTS) is remarkably successful in two-player games, but parallelizing MCTS ...
Monte-Carlo Tree Search (MCTS) is a new best-first search method that started a revolution in the fi...
We introduce the notion of expected hitting time to a goal as a measure of the con- vergence rate o...
Monte Carlo tree search is the state of the art for multiple games and for solving puzzles such as M...
Abstract—We address the parallelization of a Monte-Carlo search algorithm. On a cluster of 64 cores ...
We address the parallelization of a Monte-Carlo search algorithm. On a cluster of 64 cores we obtain...
International audienceWe address the parallelization of a Monte-Carlo search algorithm. On a cluster...
International audienceMonte-Carlo Tree Search is now a well established algorithm, in games and beyo...
AbstractWe introduce the notion of expected hitting time to a goal as a measure of the convergence r...
Monte Carlo Search algorithms can give excellent results for some combinatorial optimization problem...
Abstract. Monte-Carlo tree search is a powerful paradigm for the game of Go. We present a parallel M...
Abstract. Monte-Carlo tree search is a powerful paradigm for the game of Go. We present a parallel M...
The main objective of this graduation thesis is the parallelization of the program, the core of whic...
Abstract. We argue that Monte Carlo algorithms are ideally suited to parallel computing, and that “p...
International audienceWe provide a parallelization with and without shared-memory for Bandit-Based M...
Monte-Carlo Tree Search (MCTS) is remarkably successful in two-player games, but parallelizing MCTS ...
Monte-Carlo Tree Search (MCTS) is a new best-first search method that started a revolution in the fi...
We introduce the notion of expected hitting time to a goal as a measure of the con- vergence rate o...
Monte Carlo tree search is the state of the art for multiple games and for solving puzzles such as M...
