an ai playing 2048 in matlab

To create an AI playing 2048 in MATLAB, we can use a neural network. We will train our neural network to predict the best move given the current state of the game board.

First, we need to create a function that takes in the current state of the game board and outputs the best move. This function will use our trained neural network to predict the best move.

main.m
function move = ai_2048(board)
    % load trained neural network
    load('2048_neural_network.mat', 'net');
    
    % reshape board into a vector
    input_vector = reshape(board, 1, numel(board));
    
    % run input through neural network
    output = net(input_vector');
    
    % find best move
    [~, move] = max(output);
end
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Next, we need to train our neural network. We will use a dataset of game board states and their corresponding best moves to train our network. We will use a fully connected neural network with one hidden layer.

main.m
% load dataset of game board states and best moves
load('2048_dataset.mat', 'inputs', 'targets');

% create neural network
net = feedforwardnet([50],'trainlm');
net.layers{2}.transferFcn = 'logsig'; % set activation function
net.trainParam.epochs = 1000; % set number of epochs
net.trainParam.goal = 0.01; % set training goal

% train neural network
net = train(net,inputs,targets');

% save trained neural network
save('2048_neural_network.mat', 'net');
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We can use this AI function in a MATLAB script that plays the game of 2048. We can call the AI function after each move the player makes to get the AI's move, and continue playing until the game is won or lost.

This solution is just one way of creating an AI to play 2048 in MATLAB. There are many other ways to approach the problem, such as using reinforcement learning or a genetic algorithm.