Add to ORKGInternational audienceWe provide a parallelization with and without shared-memory for Bandit-Based Monte-Carlo Planning algorithms, applied to the game of Go. The resulting algorithm won the first non-blitz game against a professionnal human player in 9x9 Go
Abstract—We address the parallelization of a Monte-Carlo search algorithm. On a cluster of 64 cores ...
Monte-Carlo Tree Search (MCTS) is a new best-first search method that started a revolution in the fi...
AbstractA new paradigm for search, based on Monte-Carlo simulation, has revolutionised the performan...
International audienceWe provide a parallelization with and without shared-memory for Bandit-Based M...
International audienceMonte-Carlo Tree Search is now a well established algorithm, in games and beyo...
International audienceWe address the parallelization of a Monte-Carlo search algorithm. On a cluster...
Algorithm UCB1 for multi-armed bandit problem has already been extended to Algorithm UCT which works...
International audienceWe present three parallel algorithms for UCT. For 9×9 Go, they all improve the...
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...
We address the parallelization of a Monte-Carlo search algorithm. On a cluster of 64 cores we obtain...
Monte carlo simulation is one of the techniques used to generate pseudorandomnumbers which can compr...
The main objective of this graduation thesis is the parallelization of the program, the core of whic...
University of Minnesota Ph.D. dissertation. May 2016. Major: Computer Science. Advisor: Maria Gini. ...
Abstract—We address the parallelization of a Monte-Carlo search algorithm. On a cluster of 64 cores ...
Monte-Carlo Tree Search (MCTS) is a new best-first search method that started a revolution in the fi...
AbstractA new paradigm for search, based on Monte-Carlo simulation, has revolutionised the performan...
International audienceWe provide a parallelization with and without shared-memory for Bandit-Based M...
International audienceMonte-Carlo Tree Search is now a well established algorithm, in games and beyo...
International audienceWe address the parallelization of a Monte-Carlo search algorithm. On a cluster...
Algorithm UCB1 for multi-armed bandit problem has already been extended to Algorithm UCT which works...
International audienceWe present three parallel algorithms for UCT. For 9×9 Go, they all improve the...
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...
We address the parallelization of a Monte-Carlo search algorithm. On a cluster of 64 cores we obtain...
Monte carlo simulation is one of the techniques used to generate pseudorandomnumbers which can compr...
The main objective of this graduation thesis is the parallelization of the program, the core of whic...
University of Minnesota Ph.D. dissertation. May 2016. Major: Computer Science. Advisor: Maria Gini. ...
Abstract—We address the parallelization of a Monte-Carlo search algorithm. On a cluster of 64 cores ...
Monte-Carlo Tree Search (MCTS) is a new best-first search method that started a revolution in the fi...
AbstractA new paradigm for search, based on Monte-Carlo simulation, has revolutionised the performan...