That makes sense.

Now, just one more thing.

Take climate change.

So before I go on with how we're going to approach this problem,

We're going to talk about how to extend classicial planning to allow active perception to deal with partial observability.

And then finally, turn it back to the real world.

But yes, it's also true that the Internet has problems, very serious problems, problems with security and problems with privacy.

Here was another example of someone trying to understand the customer problem of couples who happen to be on separate coasts or long distance from each other.

Sometimes we call this debugging. if the code has problems, adding print statements to see more what's going on is a good way to figure that out.

So, this is going to be a lot of code, and I'm not going to go through it line by line.

But this taping business, fine, let it go.

Tom explained the matter in detail.

So the probability of guessing on both of them so that means that the probability of being correct on guessing correct on 1 and number 2 is going to be equal to the product of these probabilities.

An obvious example of a multi goal environment would be a parking lot. I want to get to an empty parking spot.

They are basically referral services, essentially.

So that is our T distribution right there.

He explained the matter to me.

let's say, we have this one, is suddenly reduced.

Look at that.

He explained the matter in detail.

I'm going to try and explain why it is that perhaps we don't understand as much as we think we do.

This is a book on Optimal Transport, it is a problem involving mathematics, engineering, probability and geometry everything that was said.

And I'm going to once again do another module where I explain this a little bit more.

If you have to figure out the Laplace transform of t to the tenth, you could just keep doing this over and over again, but I think you see the pattern pretty clearly.

Where you think if I sit down, I can do this in relatively short enough time to solve the problem.

I believe this is a moral issue.

This one also works.

Wanted to make sure you got off all right.

Let's do some problems with plotting points and graphical representations of functions.

But I'm a very visual guy.

They told the 'teacher' to sit in front of a counter that had a button and a dial.

learning to clearly communicate where you are in your progress, what your roadblocks are, and understanding that that's okay.

So, we gather around, we discuss about problems and social problems and talk about it.

The IDs are flawless.

Existential risk is a threat to human survival, or to the long term potential of our species.

In this unit, we will see how to do probabilistic inference.

So the homework assignment will cover this plus some very basic probability. Probability

I think he's going to talk about that later in the conference.

Let's say I had the situation let me give me a couple of problems if I said three over x is equal to, let's just say five.

As is easily seen, the 0.5 falls out, so we get 0.1 over 0.9 over a ninth, which is the answer for the first question.

So there is a 1 3 probability of rolling a 1 or a 6.

lives, for philosophy.

You start to get into detail.

I am well acquainted with the subject.

The first thing that we want to do when we propose an algorithm is actually analyze the correctness with respect to the problem specification to see if it actually accomplishes what the problem says you're supposed to accomplish.