ptan | PyTorch Agent Net : reinforcement learning toolkit | Reinforcement Learning library

by Shmuma Python Version: v0.6 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | ptan Summary

ptan is a Python library typically used in Artificial Intelligence, Reinforcement Learning, Deep Learning, Pytorch applications. ptan has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

PTAN stands for PyTorch AgentNet -- reimplementation of AgentNet library for PyTorch. This library was used in "Deep Reinforcement Learning Hands-On" book, here you can find sample sources.

Support

Quality

Security

License

Reuse

Support

ptan has a low active ecosystem.

It has 415 star(s) with 125 fork(s). There are 22 watchers for this library.

It had no major release in the last 12 months.

There are 15 open issues and 19 have been closed. On average issues are closed in 54 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ptan is v0.6

Quality

ptan has 0 bugs and 0 code smells.

Security

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

ptan code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ptan 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

ptan releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

ptan saves you 2192 person hours of effort in developing the same functionality from scratch.

It has 4800 lines of code, 386 functions and 53 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Calculate the loss for a batch
Saves the transition images
The maximum value of the queue
Return the mean of the queue
Calculate the t - score
Calculate the target rewards for the given states
Calculate the first and last q
Play a single experiment
Creates an environment from the given parameters
Returns epoch time
Calculate the mean of the given states
Make an environment
Populate the exporter
Populate the pool
Populate the cache
Perform a forward computation
The number of samples per second
Check if the file has changed
Compute the inverse function
Calculate loss
Saves the state of the states in the given network
Calculate the loss of a batch
Add a reward
Benchmark a buffer
Perform an action
Sample from the distribution
Sample from the buffer

Get all kandi verified functions for this library.

ptan Key Features

No Key Features are available at this moment for ptan.

ptan Examples and Code Snippets

No Code Snippets are available at this moment for ptan.

Community Discussions

Trending Discussions on ptan

ordering modelchoicefield in django loses formatting

No matching distribution found for torch==1.3.0 while installing PTAN

QUESTION

ordering modelchoicefield in django loses formatting

Asked 2021-May-01 at 04:49

I wanted to order a list in my form view, and found this post here:

How do I specify an order of values in drop-down list in a Django ModelForm?

So I edited my code and added the line specialty = forms.ModelChoiceField(queryset ='...')

So then I reload the form and the widget is all smoshed and funky looking. I checked the html code and the specialties are indeed in the right order! But it misses the widget definition lower adding the form-control class. I am not sure why. if I remove the line specialty = form.ModelChoiceField then everything looks great aside from the dropdown not being in the right order (alphabetical by name field)

Not sure why it is missing that widget definition and attaching the class form-control or the tabindex even. Guessing the specialty = forms.ModelChoiceField is overriding it somehow?

...

ANSWER

Answered 2021-May-01 at 04:49

This is explained in the documentation, inside a big note:

When you explicitly instantiate a form field like this, it is important to understand how ModelForm and regular Form are related.

ModelForm is a regular Form which can automatically generate certain fields. The fields that are automatically generated depend on the content of the Meta class and on which fields have already been defined declaratively. Basically, ModelForm will only generate fields that are missing from the form, or in other words, fields that weren’t defined declaratively.

Fields defined declaratively are left as-is, therefore any customizations made to Meta attributes such as widgets, labels, help_texts, or error_messages are ignored; these only apply to fields that are generated automatically.

So, just add the widget argument to your declarative field:

Source https://stackoverflow.com/questions/67339575

QUESTION

No matching distribution found for torch==1.3.0 while installing PTAN

Asked 2020-Dec-04 at 12:31

I tried to install PTAN liblary using pip

...

ANSWER

Answered 2020-Dec-04 at 12:31

ptan 0.6 is broken at the time being. The issue is that the dependencies are requiring exact versions of the same package (torch in this case) which pip cannot handle as it uninstalls the previous version.

I tried finding what other package was requiring a version of torch that's not version 1.3.0 but I couldn't find it, maybe somebody else could find it, not that it matters too much for us though.

Your best bet is to install the older version of ptan which is 0.4 released July 1:st 2020.

pip install ptan==0.4

Source https://stackoverflow.com/questions/65142804

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

Vulnerabilities

No vulnerabilities reported

Install ptan

You can download it from GitHub.
You can use ptan like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.