testtiling.m

approximate reinforcement learning

cfg.init = 0;
[xdata wdata tdim] = tiling_create({0:5, 0:4:20}, [3], 4, cfg);

N = 4;
X = [rand(N, 1)*5  rand(N, 1)*20 fix(rand(N, 1)*3+1)];
V = zeros(N, 1);
I = zeros(N, 4);

for i = 1:N,
    x = X(i, :);
    [v i j] = tiling_update(xdata, wdata, tdim, x(1:2), [1 2 3])
    wdata(i, j) = v;
    disp('Updated. retrieving');
    [v i j] = tiling_get(xdata, wdata, tdim, x(1:2))
    pause
end;