Enhancements for Multi-Player Monte-Carlo Tree Search

نویسندگان

  • J. A. M. Nijssen
  • Mark H. M. Winands
چکیده

Monte-Carlo Tree Search (MCTS) is becoming increasingly popular for playing multi-player games. In this paper we propose two enhancements for MCTS in multi-player games: (1) Progressive History and (2) Multi-Player Monte-Carlo Tree Search Solver (MP-MCTS-Solver). We analyze the performance of these enhancements in two different multi-player games: Focus and Chinese Checkers. Based on the experimental results we conclude that Progressive History is a considerable improvement in both games and MP-MCTS-Solver, using the standard update rule, is a genuine improvement in Focus.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Playout Search for Monte-Carlo Tree Search in Multi-player Games

Monte-Carlo Tree Search (MCTS) has become a popular search technique for playing multi-player games over the past few years. In this paper we propose a technique called Playout Search. This enhancement allows the use of small searches in the playout phase of MCTS in order to improve the reliability of the playouts. We investigate max, Paranoid and BRS for Playout Search and analyze their perfor...

متن کامل

Multi-player Go

Multiplayer Go is Go played with more than two colors. Monte-Carlo tree search is an adequate algorithm to program the game of Go with two players. We address the application of Monte-Carlo tree search to multiplayer Go.

متن کامل

Enhancements for Monte-Carlo Tree Search in Ms Pac-Man

In this paper enhancements for the Monte-Carlo Tree Search (MCTS) framework are investigated to play Ms Pac-Man. MCTS is used to find an optimal path for an agent at each turn, determining the move to make based on randomised simulations. Ms Pac-Man is a real-time arcade game, in which the protagonist has several independent goals but no conclusive terminal state. Unlike games such as Chess or ...

متن کامل

Monte-Carlo Tree Search in Settlers of Catan

Games are considered important benchmark opportunities for artificial intelligence research. Modern strategic board games can typically be played by three or more people, which makes them suitable test beds for investigating multi-player strategic decision making. Monte-Carlo Tree Search (MCTS) is a recently published family of algorithms that achieved successful results with classical, two-pla...

متن کامل

Monte-Carlo Tree Search for Poly-Y

Monte-Carlo tree search (MCTS) is a heuristic search algorithm that has recently been very successful in the games of Go and Hex. In this paper, we describe an MCTS player for the game of Poly-Y, which is a connection game similar to Hex. Our player won the CodeCup 2014 AI programming competition. Our player uses MCTS with the all-moves-as-first heuristic, and detects basic heuristic patterns t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010