Is that Pareto optimal?

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

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

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

The outcomes are in the matrix, and the pareto optimal outcome is one where there's no other outcome that all players would prefer.

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

To answer the question specifically is it Pareto optimal, the answer is no, because any of these four would be better for both parties.

So, we've seen that it's easy to figure out the solution to a game if there's a dominant strategy or if there's a Pareto optimal equilibrium.

And this is named after the economist Pareto.

Is it optimal?

Now, is that optimal? No!

It can be sub optimal.

Actually, it's more like Pareto pessimal in that this is worst total.

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.

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.

This is where the game turns out to be a dilemma because there's an equilibrium point that it seems like if both players are rational, they're bound to end up in this outcome, whereas the Pareto optimal solution is over here in the other corner.

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.

What we always found was the so called Pareto principle that is, 20 of all modules contain 80 of the bugs.

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.