Smart Snake and Ladder

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In the normal snakes and ladders, the game is pure luck (the agent does not choose an action, just follows the dice). So I will require a modification to the rules where the player can choose how many states to advance, limited by the dice roll. In other words, if they roll a 3, then they can choose to advance 0, 1, 2, or 3 states. Instead I’d recommend depth-limited expectimax, using an evaluation function (similar to a heuristic) to estimate the risk/reward of states at the depth limit. Lastly, you can use the NN to predict risk/reward as its output.

Intelligence Artificielle Python Neural Networks

Nº du projet : #35400217

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karlmarkus609

Hello. I read your description carefully. As python expert and machine learning engineer, I can make perfect result in time. Let's discuss about your project. Hope to reply from you soon.

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anashcisoft

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techskills16

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avinashdubeyg209

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davidstrager

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CodingHelpLine

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yevheniibelchen2

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