Energy-Efficiency-in-Reinforcement-Learning/create_aps.m at master · UserByTan/Energy-Efficiency-in-Reinforcement-Learning · GitHub

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function [ ap_grids ] = create_aps( number_of_aps, number_of_states, buffer )

    total_random = number_of_states + buffer;
    x_ = (total_random-1).*rand(1,1) + 1;
    y_ = (total_random-1).*rand(1,1) + 1;

    hold_grids = [];

    ap_grids(1, 1) = x_;
    ap_grids(1, 2) = y_;

    x_ = (total_random-1).*rand(1,1) + 1;
    y_ = (total_random-1).*rand(1,1) + 1;

    safety = 1;

    for i = 2:number_of_aps

        x_ = (total_random-1).*rand(1,1) + 1;
        y_ = (total_random-1).*rand(1,1) + 1;

        while ~check_coords(ap_grids, x_, y_)

            x_ = (total_random-1).*rand(1,1) + 1;
            y_ = (total_random-1).*rand(1,1) + 1;
            if safety > 100
                selected = round((no_of_members-1).*rand(1,1) + 1);
                safety = 1;
            else
                safety = safety + 1;
            end
        end

        ap_grids(i, 1) = x_;
        ap_grids(i, 2) = y_;

        x_ = 0;
        y_ = 0;

    end


end