Completed

AI AGENT - for halma game

In this project, we will play the game of Halma, an adversarial game with some similarities to checkers. The game uses a 16x16 checkered gameboard. Each player starts with 19 game pieces clustered in diagonally opposite corners of the board. To win the game, a player needs to transfer all of their pieces from their starting corner to the opposite corner, into the positions that were initially occupied by the opponent. Note that this original rule of the game is subject to spoiling, as a player may choose to not move some pieces at all, thereby preventing the opponent from occupying those locations. Note that the spoiling player cannot win either (because some pieces remain in their original corner and thus cannot be used to occupy all

positions in the opposite corner). Here, to prevent spoiling, we modify the goal of the game to be to occupy all of the opponent’s starting positions which the opponent is not still occupying. See [login to view URL] for more about this rule modification.

In more details (from [login to view URL]):

Skills: Game Design, Artificial Intelligence, Algorithm

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About the Employer:
( 0 reviews ) Los Angeles, United States

Project ID: #21933347

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maryumakhter5

I have more than 3 years of experience in Python/MATLAB specially in Machine learning/Deep Learning, Image processing and Signal processing. I have knowledge and understanding of state of the art machine learning algo More

$280 USD in 4 days
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3.7
olaideejiwole

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6 freelancers are bidding on average $156 for this job

hamzzaamalik

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Vasily1989

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akfaqana

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lifanghu27

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$140 USD in 7 days
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