def randomPolicy(Ts):
    numA = len(Ts)
    dim = len(Ts[0])
    return ones((dim, numA)) / float(numA), mean(array(Ts), axis=0)
: Get a copy of this object.
dataset/ETHPy150Open pybrain/pybrain/pybrain/rl/learners/modelbased/policyiteration.py/randomPolicy--crossover with--dataset/ETHPy150Open nasa/mplStyle/mplStyle/MplPatchStyle.py/MplPatchStyle.__copy__