To get its present value.

Whatever function value I get at the positive value of number,

We do get the value 12.

Then, for 1 2 we get a certain value. For 2 3, we get a larger value.

I'm going to get the same function value at the negative value.

So we would get a very small p value, a probability value.

I could get to any positive value.

And then we will get the present value

We never actually get a value out of this.

And then to get its present value, its value today, you divide that by 1.05 again.

In value iteration, we recursively calculate the value function so that in the end, we get what's called the optimal value function.

And all that means is that if I give you an x value and a y value you get a z value.

They don't get any information, they don't get any value for what they spend.

So to know what the value is, we evaluate the name a. We get the value 2.

I need to subtract this to get my bearing value.

So, we're going to get a value less than 1.

Since we're going to get a value less than 1,

This caused this other variable to get this other value.

Somebody die? I gotta get full value for my money.

When you put x, y here, you're going to get some value, when you put x, y here, you're going to get some value.

I'm going to have to assign to the value (x) and the value (z) before I get here.

All the time we are trying to get value for money.

If you have money, of course, you can get the value.

We get the value 125, and then we do the assignment.

For the postcondition, we get similar ranges for the return value.

And then finally we want to get the value of X.

We didn't get the value None as the result from get_next_target.

We'll get the present value of 110 a year from now.

But the big picture is when you subtract this value from this value you get the probability that you

So, right over here, this is our value of f(x) then as we get closer, this is our value of f(x), as we get even closer, this is our value of f(x).

Is it shareholder value, shareholder value, shareholder value ?

So now when we look up the value associated with hydrogen, we get 1, and if we look up the value associated with carbon, we get 6.

Then we get the Q value of 100 minus the Q value of zero, and the discount rate is 90.

If I was multiplying by 100, I should get a larger value.

But when the present value is based on that, you get 99.77.

So you can actually get rid of that absolute value function there.

To get the value of the left_child, I'll just call eval_exp recursively.

So I can get any value less than 20 given this distribution.

And you are essentially discounting them back to get today's present value.

And we get out one which is the absolute value of one.

Then we can actually say get the value of that text node.

All value is perceived value.

The g value over here in both cases is 7, but when we add the h value we get a difference.

And so from that we can actually get the average value that comes up on the die or the expected value.

Value