Narrator Planning under uncertainty.

Or decision making under uncertainty.

We talked about planning, but not under uncertainty, and you've had many, many classes of under uncertainty, and now it gets to the point where we can make decisions under uncertainty.

Your uncertainty shrinks to 3.99, which is slightly better than the measurement uncertainty.

We'll talk about planning under uncertainty, and it really puts together from the material we've talked about in past classes.

You have that much uncertainty.

There is no uncertainty anymore.

And uncertainty results in caution.

We never brought planning and uncertainty together, uncertainty and learning, or planning and learning.

large amounts of uncertainty. So, uncertainty comes in many forms and for many different reasons.

So there is a great deal of uncertainty, and Entropy captures this uncertainty, this disorder.

Let's assume the measurement uncertainty is constant 4, and the motion uncertainty is constant 2.

I feel the uncertainty of life.

Uncertainty comes because of noisy observation.

Only doubts and questioning and uncertainty.

And fifth, the element of uncertainty.

That uncertainty might grow over time.

Now, who remembers Heisenberg's uncertainty principle?

Uncertainty is what makes play fun.

Drama is anticipation mingled with uncertainty.

Entropy is associated with uncertainty, disorder.

Uncertainty, that's what one fears most.

I get an uncertainty matrix where I have a really high uncertainty in the position and a really high uncertainty in the velocity, and they're both uncorrelated.

The evidence left no room for uncertainty.

Motion comes in, 3.66. Uncertainty goes up.

Even seasickness is a consequence of uncertainty.

Last year was a period of economic uncertainty.

As a noun, it means uncertainty or confusion.

We are not good at reasoning with uncertainty.

I define vulnerability as emotional risk, exposure, uncertainty.

The problem with questions is they create uncertainty.

You then predict that you add 1, but the uncertainty increases to 5.99, which is the motion uncertainty of 2.

It might be possible to have a fairly small uncertainty in 1 dimension, but a huge uncertainty in the other.

And that makes sense because we had a huge initial uncertainty, and inaudible of 5 with a relatively small measurement uncertainty.

They make errors of logic in reasoning with uncertainty.

Clearly, the prior Guassian has a much higher uncertainty.

language technologies, anything involving time and sensors or uncertainty.

Total variety and uncertainty. And it's significant, isn't it?

So in a stochastic partially observable environment, the actions tend to increase uncertainty, and the observations tend to bring that uncertainty back down.

Our uncertainty increases by exactly 2, from 3.9 to 5.98.

So what is evolution's answer to the problem of uncertainty?

You know, it's the principles of uncertainty, so, you know.

And now, knowing what it means to you, the uncertainty.

Then you arrive at a prediction that adds the motion of command to the mean, and it has an increased uncertainty over the initial uncertainty.

Under water