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Monte Carlo tree search
Results: 62

#	Item
31	A Selective Move Generator for the Game Axis and Allies David L. St-Pierre, Mark H.M. Winands and David A. Watt Abstract— We consider the move generation in a modern board game where the set of all the possible moves i Add to Reading List Source URL: game.itu.dk Language: English - Date: 2010-08-10 12:41:00 Game artificial intelligence Mathematics Game theory Gaming Computer chess Alphabeta pruning Minimax Monte Carlo tree search Outline of chess Go Dynasty Tactics
32	Combining Final Score with Winning Percentage by Sigmoid Function in Monte-Carlo Simulations Kazutomo SHIBAHARA Abstract— Monte-Carlo method recently has produced good results in Go. Monte-Carlo Go uses a move which ha Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:33 Mathematics Game artificial intelligence Applied mathematics Statistics Monte Carlo methods Combinatorial game theory Monte Carlo tree search Stochastic simulation Computer Go Minimax Simulation Monte Carlo
33	Monte Mario: Platforming with MCTS Emil Juul Jacobsen Rasmus Greve Julian Togelius Add to Reading List Source URL: julian.togelius.com Language: English - Date: 2014-07-22 08:28:18 Game artificial intelligence Monte Carlo tree search General game playing A* search algorithm Tree traversal Super Mario Artificial intelligence Trie Tree
34	Online Evolution for Multi-Action Adversarial Games Niels Justesen1 , Tobias Mahlmann2 , and Julian Togelius3 1 2 IT University of Copenhagen Add to Reading List Source URL: julian.togelius.com Language: English - Date: 2016-03-20 21:44:35 Mathematics Game artificial intelligence Search algorithms Applied mathematics Combinatorial game theory Minimax Monte Carlo tree search Negamax Monte Carlo method Heuristic Greedy algorithm A* search algorithm
35	A Risky Proposal: Designing a Risk Game Playing Agent Juan Lozano, Dane Bratz, Abstract Monte Carlo Tree Search methods provide a general framework for modeling decision problems Add to Reading List Source URL: cs229.stanford.edu Language: English - Date: 2013-01-09 18:02:31
36	General Video Game Evaluation Using Relative Algorithm Performance Profiles Thorbjørn S. Nielsen1 , Gabriella A. B. Barros1 , Julian Togelius2 , and Mark J. Nelson3 1 2 Add to Reading List Source URL: julian.togelius.com Language: English - Date: 2015-03-11 02:11:53 Leisure Game theory Gaming Game artificial intelligence General game playing Game Description Language Monte Carlo tree search Video game Game Genetic algorithm Randomness Arcade game
37	Monte Carlo Tree Search in Go Adrien Cou¨etoux and Martin M¨uller and Olivier Teytaud Abstract Monte Carlo Tree Search (MCTS) was born in Computer Go, i.e. in the application of artificial intelligence to the game of G Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2015-11-16 19:05:02
38	Playout Policy Adaptation for Games Tristan Cazenave∗ LAMSADE Université Paris-Dauphine Abstract. Monte Carlo Tree Search (MCTS) is the state of the art algorithm for General Game Playing (GGP). We propose to learn a Add to Reading List Source URL: www.lamsade.dauphine.fr Language: English - Date: 2015-05-28 11:50:53
39	Monte Carlo Tree Search and Computer Go Cmput 366 Guest Lecture Martin Müller Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2015-11-16 19:05:05
40	The game of Go, Monte Carlo Tree Search and Computer Go Martin Müller Acknowledgement: some slides adapted from Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2015-11-16 19:05:05