def policy_backward(eph, epx, epdlogp, model):
    """backward pass. (eph is array of intermediate hidden states)"""
    dW2 = np.dot(eph.T, epdlogp).ravel()
    dh = np.outer(epdlogp, model["W2"])
    # Backprop relu.
    dh[eph <= 0] = 0
    dW1 = np.dot(dh.T, epx)
    return {"W1": dW1, "W2": dW2}
backward pass. (eph is array of intermediate hidden states)