lwm | Latent World Models For Intrinsically Motivated Exploration | Machine Learning library

by htdt Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | lwm Summary

lwm is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. lwm has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However lwm build file is not available. You can download it from GitHub.

Latent World Models For Intrinsically Motivated Exploration | Official repository

Support

Quality

Security

License

Reuse

Support

lwm has a low active ecosystem.

It has 10 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

lwm has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of lwm is current.

Quality

lwm has no bugs reported.

Security

lwm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

lwm is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

lwm releases are not available. You will need to build from source code and install.

lwm has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed lwm and discovered the below as its top functions. This is intended to give you an instant insight into lwm implemented functionality, and help decide if they suit your requirements.

Train the model
Stack frames
Generate a masked mask from the done array
Prepare the observation
Compute the error for the given batch
Inverse of the inverse function
Forward a step
Step grid in a grid
Return the most recently created step
Query the given indices
Reset the experiment
Generate the maze
N - step Bellman target
Pad x to a given dimension
Handle key press events
Load a configuration file
Release key
Append a step
Creates a CNN
Compute the loss function
Render the map
Create a scipy env
Plot a series of points
Forward a single observation
Forward the given observation
Load model

Get all kandi verified functions for this library.

lwm Key Features

No Key Features are available at this moment for lwm.

lwm Examples and Code Snippets

No Code Snippets are available at this moment for lwm.

Community Discussions

Trending Discussions on lwm

Session windows in Apache Beam with python

"Body" of a post request always in unicode

Defining xlabels with set() and changing bottom arg inside subplots_adjust() matplotlib will modify xlabels order

RestTemplate exchange method causes the Spring Boot application to hang every now and then

Checking for process and process status in PowerShell version 2 and getting two different outputs depending on single process or multiple processes?

Raster: Calculation on RasterStack only if not NA in other RasterLayer

QUESTION

Session windows in Apache Beam with python

Asked 2019-Apr-02 at 12:48

I have a stream of user events. I've mapped them into KV{ userId, event }, and assigned timestamps.

This is to run in streaming mode. I would like to have be able to create the following input-output result:

session window gap=1

input: user=1, timestamp=1, event=a
input: user=2, timestamp=2, event=a
input: user=2, timestamp=3, event=a
input: user=1, timestamp=2, event=b
time: lwm=3
output: user=1, [ { event=a, timestamp=1 }, { event=b, timestamp=2 } ]
time: lwm=4
output: user=2, [ { event=a, timestamp=2 }, { event=a, timestamp=3 } ]

So that I can write my function to reduce thee list of events in the session window for the user as well as the start and end time of the session window.

How do I write this? (If you answer; "look at the examples", it's not a valid answer, because they never feed the list of events into the reducer with the window as a parameter)

...

ANSWER

Answered 2019-Apr-02 at 12:48

If I understand this correctly, this would be a follow-up to this question and naturally accomplished by adding the Group By Key step as I propose in my solution there.

So, referring to my previous explanation and focusing here on the changes only, if we have a pipeline like this:

Source https://stackoverflow.com/questions/55261957

QUESTION

"Body" of a post request always in unicode

Asked 2018-Dec-13 at 16:41

If I make a POST request to a specific server using a Chrome plugin, I can see the "response body" comes back just fine in a JSOn format.

However when I try to do this with either "request" or "https.request", the "body" comes back as unicode which I can't seem to decipher. Anyone know how I can the body to come back as regular JSON, or how I could decipher this unicode? I tried a few stackoverflow solutions to decipher the unicode but no luck.

raw body:

...

ANSWER

Answered 2018-Dec-12 at 15:46

The chrome plugin that you're using to POST is probably setting the content-type correctly, while your regular request from your server isn't.

Can you change your request so it includes

Source https://stackoverflow.com/questions/53662674

QUESTION

Defining xlabels with set() and changing bottom arg inside subplots_adjust() matplotlib will modify xlabels order

Asked 2017-Nov-08 at 17:40

I have this two Dataset to plot:

lwm:

...

ANSWER

Answered 2017-Nov-08 at 17:30

The problem

The xlabels change position due to set.

set by definition, is an unordered collection of distinct hashable object, but this not mean that is randomly ordered. (see here for details https://stackoverflow.com/questions/2860339/can-pythons-set-absence-of-ordering-be-considered-random-order).

So your output is correct.

The Solution

What do you need is to extract the labels based on your specification and then plot it.

For example using:

Source https://stackoverflow.com/questions/47142840

QUESTION

RestTemplate exchange method causes the Spring Boot application to hang every now and then

Asked 2017-Aug-16 at 21:10

I have this function that GETs an object through RestTemplate.exchange()...

...

ANSWER

Answered 2017-Aug-16 at 21:10

I figured it out thanks to help from @AbhijitSarkar.

After debugging the status code, I found out I was being returned 5xx status codes every now and then. As you can see in the OP, only client exceptions were being caught. 5xx status codes are not caught here because they are server exceptions.

Source https://stackoverflow.com/questions/45702944

QUESTION

Checking for process and process status in PowerShell version 2 and getting two different outputs depending on single process or multiple processes?

Asked 2017-Jul-26 at 15:45

Here is the code below I am using:

...

ANSWER

Answered 2017-Jul-25 at 23:41

The Answer

Source https://stackoverflow.com/questions/45314884

QUESTION

Raster: Calculation on RasterStack only if not NA in other RasterLayer

Asked 2017-Jul-03 at 08:24

I have a RasterStack s1 consisting of 400 layers with data from an island. The extent of the raster is cropped to the extent of the island, but due to its irregular shape, only around 20% of the pixels are actually land area and have data values; the other 80% are water and NA.

I also have a land-water-mask lwm (RasterLayer), where land is coded as 1 and water as NA.

I would like to do different kinds of cell-based calculations on s1, but noticed that these take a long time to finish. To speed things up, the calculations should only be carried out for cells that are land area, whereas water areas should always be NA. In pseudo-code:

...

ANSWER

Answered 2017-Jun-22 at 08:55

That's a tricky one and unfortunetely I don't have a straight forward solution for you.

You can either do multiple crops of the island (i.e. 2-3) to minimise NA values and do the calculcations separately on each cropped raster and mosaic the results.

Or another option is to do a parallel calculation, which will speed up the process significantly:

Source https://stackoverflow.com/questions/44593123

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install lwm

The implementation is based on PyTorch. Logging works on wandb.ai. See docker/Dockerfile.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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