Is it optimal?

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

Is that Pareto optimal?

Now, is that optimal? No!

It can be sub optimal.

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

Fifteen is a pretty optimal number.

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

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

Finally, this last, the spinal in optimal

A star finds the optimal path always.

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.

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.

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.

So even in situations where outcomes are less than optimal,

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.

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.

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

Over here, the Pareto optimal solution is not an equilibrium point because if B switches, it will do better, and A will do worse.

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

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

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

To solve the sliding tile 15 puzzle, an optimal agent that searches will usually require

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