The topic of this thesis is the board game of Stratego. This game features incomplete information. The goal of this thesis is research of existing game playing algorithms and, design and implementation of new solution. For the new solution modified version of Monte Carlo Tree Search as well as alfa-beta algorithm and expectimax were used. The solution was implemented as a console application with possibility of future expansion. Functionality of the solution was validated and tested using experiments. Effectivity of the final algorithm was satisfyin
Despite its age, chess is still one of the most popular and most played board games. Nowadays, it is...
Recently the use of the Monte-Carlo Tree Search algorithm, and in particular its most famous impleme...
Kluczowym elementem niezbędnym do rozwoju sztucznej inteligencji jest odnalezienie dobrej strategii ...
The topic of this thesis is the board game of Stratego. This game features incomplete information. T...
Tématem této práce je desková hra s neúplnou informací Stratego. Cílem je průzkum a zhodnocení dosav...
This work deals with games played on chessboard and examines which algorithm for playing them perfor...
The thesis focuses on creating an autonomous system for the game Scotland Yard by using machine lear...
Includes bibliographical references (pages 28-29)The main purpose of this project was to understand ...
This work deals with games played on chessboard and examines which algorithm for playing them perfor...
Monte-carlo tree search (mcts) is a best-first search method guided by the results of monte-carlo si...
A lot of research has been done on classical games such as Chess or Shogi, but not so much on more r...
This thesis deals with finding control strategies for pre-selected problems from various areas using...
AbstractPartial information games are excellent examples of decision making under uncertainty. In pa...
[[abstract]]UCT (Upper Confidence bounds applies to Tree) is a technique based on Monte Carlo Method...
Tabletop and computer games are now more popular than ever before and the two industries are only ex...
Despite its age, chess is still one of the most popular and most played board games. Nowadays, it is...
Recently the use of the Monte-Carlo Tree Search algorithm, and in particular its most famous impleme...
Kluczowym elementem niezbędnym do rozwoju sztucznej inteligencji jest odnalezienie dobrej strategii ...
The topic of this thesis is the board game of Stratego. This game features incomplete information. T...
Tématem této práce je desková hra s neúplnou informací Stratego. Cílem je průzkum a zhodnocení dosav...
This work deals with games played on chessboard and examines which algorithm for playing them perfor...
The thesis focuses on creating an autonomous system for the game Scotland Yard by using machine lear...
Includes bibliographical references (pages 28-29)The main purpose of this project was to understand ...
This work deals with games played on chessboard and examines which algorithm for playing them perfor...
Monte-carlo tree search (mcts) is a best-first search method guided by the results of monte-carlo si...
A lot of research has been done on classical games such as Chess or Shogi, but not so much on more r...
This thesis deals with finding control strategies for pre-selected problems from various areas using...
AbstractPartial information games are excellent examples of decision making under uncertainty. In pa...
[[abstract]]UCT (Upper Confidence bounds applies to Tree) is a technique based on Monte Carlo Method...
Tabletop and computer games are now more popular than ever before and the two industries are only ex...
Despite its age, chess is still one of the most popular and most played board games. Nowadays, it is...
Recently the use of the Monte-Carlo Tree Search algorithm, and in particular its most famous impleme...
Kluczowym elementem niezbędnym do rozwoju sztucznej inteligencji jest odnalezienie dobrej strategii ...