TD3 | Author 's PyTorch implementation of TD3 for OpenAI gym tasks | Reinforcement Learning library

Is there a possibility to toggleText() for each element of the array separately?

Right now, when clicked, the values are changed for every single element at the same time and I'd like to go over them one by one as they're clicked.

I get ValueError: xxx not found in gym registry, you maybe meant when trying to register a custom environment in stable baselines 3. I tried the following commands:

If you add a book you see the item added to the table with an awesome font fa-remove X. On hover I increase the size of icon but it slightly moves the text in the other td's. Is there a way to prevent this?

UPDATE: I found that if we wrap the link in a p tag and apply width:0 and margin-bottom:0 it will work but this seems like a hack. Is there a better way?

Anyway to do a LEFT JOIN for sql when one of the data record is empty (or non exist). If it is non exist, return a dummy data like 0, possible?

This is the query for the LEFT JOIN, result is empty.

Is possible to remove duplicate values on html while updating in my firebase?

Js codes:

I have a large dataframe df with 41 columns of data. The first 40 columns have all similar variable names TD1, TD2, TD3 .... TD40 that contain characters. The last column is Catflag whose value is dependent on the codes contained within the other 40 columns of data.

Here is a small subset of the dataframe.

TD1 TD2 TD3 ...... TD40 Catflag 1345 4673 3908 2348 Stroke 4721 9854 5732 O763 Diabetes 5739 6894 3957 5864 Cardiac 967D 6046 1345 4T67 Stroke ...........

What I would like to do is for R to look through each row and if finds either codes (5984, 6046, 3331) anywhere in the 40 columns of data (T1-T40) it will change/replace the value in Catflag for that row to "Surgery". If it doesn't find either of the 3 values then the Catflag value for that row remains unchanged. Therefore in the dataframe above only the 4th row would change from "Stroke" to "Surgery"

I used the following R code to do the job

rowwise()%>% df$Catflag[any(c_across(starts_with("TD")) %in% c("5984", "6046", "3331"))] <- "Surgery"

It didn't work and got "invalid (NULL) left side of assignment" error message. Tried slight changes and variations to the command to no avail.

The above command works on multiple conditions such as this example: df$Catflag[(df$TD1 == "3331") & (df$TD4 == "7856")] <- "Emergency"

Just dont know how to make it work for applying the same condition over 40 columns???

Any suggestions would be appreciated. Thanks

I need some help because I am a little stuck and I'm not sure what I am doing wrong.

I created a table with buttons in each row. I want to give each buttons a unique id. The id will be a JSONObject that I got from calling an API. Here is my code so far:

So I started with importing 4 different arrays with equal amounts of data.

Then I made a class, thinking the class can help me make the objects, with that imported data.

So my thinking was if I loop through that class, it can make an object that contains the data of all 4 arrays by its index, and then push that object into an array.

I was hoping my ending results for objectArray would look like...

So I am trying to achieve a dictionary result like:

{'foo': ({'key': 'value'}, {'key': 'value1'})}

So far I am only able achieve this result with this code: