holen | Declarative fetch for React | REST library

I am trying to send some commands to a Terminal through UART, so in order for the MSP430 to know which command he got, I wrote some if-conditions in case cREC_BUFFER contains a certain word, the microcontroller should controller it then, for example if the string cREC_BUFFER contains the word "ENDE" at the end, he should go into the if condition inside. The problem that I am facing, is that when I check what the string empty string cREC_BUFFER has after debugging, it contains only the last character "E" of the word "ENDE". Can someone tell me what mistakes I am making here? Thanks a lot for the help in advance! (I reduced the length of the code in here by deleting the content of the other functions, since they do not cause the problem)

Could someone please tell me why the div block #contentbottom1 doesn't show up if i set it to bottom: 0;?
If I set it to, let's say, bottom: 15vh it shows up. I need this to work because I have to set both headlines together 9.2vh from the bottom.
OFC I know how tangly me headline attribution is. ;)

I have a group of images in my HTML with the ID's "Hole#" ex: "Hole1", "Hole2" ... "HoleN". These IMG tags are loading a locally stored image. My goal is to print an alert when one of the images is clicked.

I found another StackOverflow question that I thought would answer my question. I've incorporated it into my code below. Unfortunately it did not achieve the desired effect.

I programmed a very easy game which works the following way:

Given an 4x4 field of squares, a player can move (up, right, down or left).

• Going on a square the agent never visited before gives the reward 1.

• Stepping on "dead-field" is rewarded with -5 and then the game will be resetted.

• Moving on a field that was already visited is rewarded with -1

• Going on the "win-field" (there's exactly one) gives the reward 5 and the game will be resetted as well.

Now I want an AI to learn to play that game via Q-Learning.

How I organized the Inputs / feature engineering:

An input for the net is an array with the shape 1x4 where arr[0] represents the field above (when moving up), arr[1] represents the field to the right, arr[2] the one below, arr[3] the one to the left.

Possible values the array can hold: 0, 1, 2, 3

0 = "dead field", so the worst case

1 = this would be outside of the 4x4 field (so you can't step there) or the field was already visited

2 = unvisited field (so that is something good)

3 = "win field", so the best-case

As you see, I ordered them by their reward.

Since the game takes an input the same way (0 = move up, 1 = move to the right, 2 = move down, 3 = move to the left), the only thing the AI would have to learn is basically: Choose the array index that holds the greatest value.

But unforntunately it doesn't work, the net just doesn't learn, not even after 30.000 episodes.

Here's my code (including the game at the beginning):

I programmed a very easy game which works the following way:

Given an 4x4 field of squares, a player can move (up, right, down or left).

• Going on a square the agent never visited before gives the reward 1.

• Stepping on "dead-field" is rewarded with -5 and then the game will be resetted.

• Moving on a field that was already visited is rewarded with -1

• Going on the "win-field" (there's exactly one) gives the reward 5 and the game will be resetted as well.

Now I want an AI to learn to play that game via Q-Learning.

How I organized the Inputs / feature engineering:

An input for the net is an array with the shape 1x4 where arr[0] represents the field above (when moving up), arr[1] represents the field to the right, arr[2] the one below, arr[3] the one to the left.

Possible values the array can hold: 0, 1, 2, 3

0 = "dead field", so the worst case

1 = this would be outside of the 4x4 field (so you can't step there) or the field was already visited

2 = unvisited field (so that is something good)

3 = "win field", so the best-case

As you see, I ordered them by their reward.

Since the game takes an input the same way (0 = move up, 1 = move to the right, 2 = move down, 3 = move to the left), the only thing the AI would have to learn is basically: Choose the array index that holds the greatest value.

But unforntunately it doesn't work, the expected Q-Values that are fed to the neural net are getting higher and higher. They rise to NaN.

Here's my code (including the game at the beginning):

It seems like my solution is not working and I don't know why. Here is what I try:

Logic

My app has a single database instance and if this instance is created does following:

1. Get current database mode
2. If current database mode == wal mode, I change it to persist
3. change mode to persist
4. Check if new mode is persist
5. creates the single database instance and reuses it as long as the app's process lives

Code

I tried to make a simple GUI where I can add the First/Last Name of a person and their date of birth. After adding the data to the JTable I can save it in a TxT File and Load it back into the JTable again.

Part where Data is saved:

I have a lack of understanding how to use the ICommand inferface for executing multiple methods in a row. Ideally I would like to create a delegate that executes all of the following 4 methods by invoking it (but it doesn't have to be a delegate):

I start in C ++ and I encounter a problem. Here I have filled a map with data contained in files and I try to display them. In case 4 of my Switch episode titles and the names of the actors of each epsiode do not display while in other cases my titles are displayed correctly. I would like to understand where my mistake lies because I can not find it.

Episode.h