So state and action, state and action and so on.

The Step Cost function takes a state, an action, and the resulting state from that action and returns a number n which is the cost of that action.

We apply that 45 to the state action pair.

I happen to know in the goal state that the action was a down action.

I'm in a certain state, I take a certain action.

So I associate the action with the successive state not with the originating state over here.

Then the action that the agent would take would be just to take the action that results in the maximum state the state with the best value.

So I find the originating state by taking my current state and subtracting the action exactly the same way I added it before using my action field as finding out what action was actually being used.

In each case, we'd be updating only the action we took, associated with that state, not the whole state.

It's continuous in its state and action spaces and its measurement, yes or no?

We have a transition function that tells us the result of, in some state, applying an action giving us a new state.

This belief state with 4 possible world states, and if I then execute the right action, followed by the suck action, then I end up in this belief state, and that satisfies the goal.

Then the value of the state for the action go up would be obtained as follows.

The probability of reaching S prime given that we started state S and apply action A.

We were in this state, and we executed the action north, so the 45 goes here.

Next we have a function called Result, which takes, as input, a state and an action and delivers, as its output, a new state.

Action!

Action

Action

action

Action

Action

Action...

Action

Action

Action!

Suffixes, 1 ion creates nouns that show the meaning of 'action, state, process, results,' and so on.

So the planning problem is now the problem which relies on an action to each possible state.

These are used to describe what happens in the state that's a successor of executing an action.

So for each state, I've divided it up into different actions so here's the action of going north, south, east or west from this particular state.

Sometimes that's over the whole triplet the reward that you get from starting in one state, taking an action, and arriving at another state sometimes we only need to talk about the result state.

A piece of the action. What action?

So each state, except for the absorbing states, we have to define an action to define a policy.

If we have a predicate Possible of A and S, is an action A possible in a state?

Now our belief state contains 2 and 6, and we decide we want to execute the suck action.

And we can denote that by the probability that we get a Result state, S prime given that we start in state, S, and apply action, A.

That is, if I execute the east action of this state over here with probability 1 item over here, if I assume the north action over here, probability 1,

Perform action

Filter Action

Action program

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Action Properties

New Action...

Action Property