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function state = sample_mdp(prior, trans, act)
> SAMPLE_MDP Sample a sequence of states from a Markov Decision Process.
> state = sample_mdp(prior, trans, act)
>
> Inputs:
> prior(i) = Pr(Q(1)=i)
> trans{a}(i,j) = Pr(Q(t)=j | Q(t-1)=i, A(t)=a)
> act(a) = A(t), so act(1) is ignored
>
> Output:
> state is a vector of length T=length(act)

len = length(act);
state = zeros(1,len);
state(1) = sample_discrete(prior);
for t=2:len
state(t) = sample_discrete(trans{act(t)}(state(t-1),:));
end