So it's the optimal way of combining information.

They've done this in a way that's actually optimal.

Is it optimal?

Is that Pareto optimal?

Is it absolutely optimal?

Shredding, of course, is the optimal way to demotivate people! If you want to.

Now, is that optimal? No!

It can be sub optimal.

So a locally optimal solution, in a way, is the best we can hope for.

Fifteen is a pretty optimal number.

And in a single sentence, optimal decision making you really try to find the optimal decision.

Finally, this last, the spinal in optimal

A star finds the optimal path always.

You're in the optimal negotiating position.All right?

Game theorists consider this a socially optimal solution.

They can prove it's optimal for path planning.

But it still hasn't learned the optimal policy.

No, look. I know this isn't a optimal

The resulting linear function ends up splitting in a quadratically optimal way the arrows between these different data points.

This is the way of backing up values, and once values have been backed up, this is the way to find the optimal thing to do.

So, very quickly, what is the optimal time profile?

It tells me what's the optimal thing to do.

less memory than an optimal table lookup reflex agent.

The bound is what does the optimal policy do?

That is, given a game, find the optimal policy.

Clear image, different colors, so I have optimal space.

We could have sat down for years trying to make the optimal movies, build the optimal server, or we could just do it.

So even in situations where outcomes are less than optimal,

But it is not, by any means, an optimal situation.

The other combinations of challenge and skill become progressively less optimal.

And from that, we can derive, look up, the optimal policy.

I should end up with the same optimal value of theta.

The question of how to establish the optimal formula is still open.

All of the points down here are possible, but they aren't optimal.

And for breadth first search, optimal would mean finding the shortest path.

The optimal formula which would encompass all these factors has not been proposed.

And he will, or she will, calculate the optimal design of the nozzle.

Our breadth first, A star, and dynamic programming all find the optimal solution.

So the optimal cluster center would be the halfway point in the middle.

I mean, is this the optimal environment in which to raise our children?

The optimal or most likely mean is just the average of the data points.

And now the next question is is there 1 or more Pareto optimal outcomes?

This algorithm is known to converge to a locally optimal clustering of data ponts.

When I'm done with planning, this will be the length of the optimal path.

A star will not always find the optimal path as I have just proven.