I've also graphed, with a dotted line, the policy loss.

What does that mean? so that's the difference between the policy that the agent has learned and the optimal policy.

It was high, up here, and then at around step 40, it learned something important.

Because it was Greedy, it found something that seemed to be doing good for it, and then it never deviated from that.

And they all stem from the same cause, from the fact that passive learning stubbornly sticks to the same policy throughout.

Now we have a new policy, and we continue learning with that new policy.

You learn, and remember what you've learned, but that doesn't change the captain's policy and that's passive learning.

Learning

Learn

But it learns about the reward function, R, and maybe the transition function, P, if it didn't already know that.

Learn The Alphabet

If we don't know what the MDP is, we know how to estimate it and then solve it.

Platform

So, that's it for Unsupervised

A center for ants?

By now, you see the range of different learning algorithms.

Okay I'm going to hand over control and as you learn, I'm going to allow you to change the policy for this ship.

Default Policy

Offline Cache Policy

A Geography Learning Program

Octave, in which you'll be able to very quickly implement the the learning algorithms we've seen already, and the learning algorithms we'll see later in this course.

Policies

Policy

And if we did end up here, then we'd immediately head back towards the road, so we'd aim back down in this direction.

Platform

Platform B.

They're on the platform!

Students may display captions in their native language.

Hey, hey, hey. What happened to you?

The brain can learn to see process images than to hear, learn to process our sense of touch.

One final note

Whatever you put in front of them, they'll take statistics on.

but the insurance company aren't silly people. They're very ughh scrutinize probabilities.

A geography learning program

I mean they have much larger vocabulary.

Did not learn anything.

I don't look like a typical domestic violence survivor.

Th' carriage is waitin' outside for thee. A brougham stood on the road before the

So this is how we could monetize this.

Before you know sending the first 70 in the training set and the last 30 of the test set.

Basically, no one's very happy.

Generic card based learning program

Java policy

JavaScript policy

We saw that with the training set like our training set of housing prices and we feed that to our learning algorithm.