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National Repository of Grey Literature 25 records found  beginprevious24 - 25  jump to record: Search took 0.00 seconds. 
MCTS with Information Sharing
 Baudiš, Petr ; Hric, Jan (advisor) ; Majerech, Vladan (referee)
We introduce our competitive implementation of a Monte Carlo Tree Search (MCTS) algorithm for the board game of Go: Pachi. The software is based both on previously published methods and our original improvements. We then focus on improving the tree search performance by collecting information regarding tactical situations and game status from the Monte Carlo simulations and sharing it with and within the game tree. We propose specific methods of such sharing --- dynamic komi, criticality-based biasing, and liberty maps --- and demonstrate their positive effect. based on collected play-testing measurements. We also outline some promising future research directions related to our work.
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Agent Based Gameplaying System
 Trutman, Michal ; Zbořil, František (referee) ; Král, Jiří (advisor)
This thesis deals with general game playing agent systems. On the contrary with common agents, which are designed only for a specified task or a game, general game playing agents have to be able to play basically any arbitrary game described in a formal declarative language. The biggest challenge is that the game rules are not known beforehand, which makes it impossible to use some optimizations or to make a good heuristic function. The thesis consists of a theoretical and a practical part. The first part introduces the field of general game playing agents, defines the Game Description Language and covers construction of heuristic evaluation functions and their integration within the Monte Carlo tree search algorithm. In the practical part, a general method of creating a new heuristic function is presented, which is later integrated into a proper agent, which is compared then with other systems.
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National Repository of Grey Literature : 25 records found   beginprevious24 - 25  jump to record:
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