Is it optimal?

Is that Pareto optimal?

Now, is that optimal? No!

Fifteen is a pretty optimal number.

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

The bound is what does the optimal policy do?

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

It can be sub optimal.

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

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.

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

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

They are non optimal because there is control noise, and there is also measurement noise.

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

So it's the optimal way of combining information.

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.

What I want you to answer is is there a pareto optimal outcome in this game?

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

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

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

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

less memory than an optimal table lookup reflex agent.

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

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.

The optimal action here is going north, which we will succeed with the probability 1.

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

And let's say I figured out the optimal point is me charging 3 per cupcake.

So even in situations where outcomes are less than optimal,

Dynamic programming is really useful when a problem exhibits what's known as the optimal substructure property.

The question now is optimal alignment of the top to the bottom under this cost function?

The next concept I want to talk about is the concept of a pareto optimal outcome.

There is an arrow to the right, which is the optimal action to take in this cell over here.

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.

So the optimal temporal mix is what you get from the past past positive gives you roots.

Finally, I'd like to ask you what is the optimal policy for the parameters we just studied.

And what Bayes' rule says is, given my beliefs, the action should in some sense be optimal.

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.