torch-ac | process PyTorch implementation of deep reinforcement Actor | Reinforcement Learning library

by lcswillems Python Version: Current License: MIT

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

kandi X-RAY | torch-ac Summary

torch-ac is a Python library typically used in Artificial Intelligence, Reinforcement Learning, Deep Learning, Pytorch applications. torch-ac 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.

A brief overview of the components of the package:.

Support

Quality

Security

License

Reuse

Support

torch-ac has a low active ecosystem.

It has 155 star(s) with 57 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 1 have been closed. On average issues are closed in 102 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of torch-ac is current.

Quality

torch-ac has 0 bugs and 0 code smells.

Security

torch-ac has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

torch-ac code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

torch-ac 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

torch-ac releases are not available. You will need to build from source code and install.

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Collect simulated observations
Perform a step
Reset the environment
Updates the model parameters
Return a list of starting indexes
Compute the model parameters
Return a numpy array of start indexes
Run the worker loop

Get all kandi verified functions for this library.

torch-ac Key Features

No Key Features are available at this moment for torch-ac.

torch-ac Examples and Code Snippets

No Code Snippets are available at this moment for torch-ac.

Community Discussions

Trending Discussions on torch-ac

Issues with Torch

Bash PATH is not a valid identifier

QUESTION

Issues with Torch

Asked 2018-Apr-21 at 11:20

Last login: Fri Mar 23 14:55:26 on ttys000 -bash: /Users/Bhaskar/torch/install/bin/torch-activate: No such file or directory

I get this message whenever I open my Terminal. I am not sure what I have to do to make this go away!

...

ANSWER

Answered 2018-Apr-21 at 11:20

I found this command in my ~/.profile and ~/.bash_rc scripts. Deleting those lines (and re-installing the teamocil gem) made this error go away. Hope this helps

Source https://stackoverflow.com/questions/49457544

QUESTION

Bash PATH is not a valid identifier

Asked 2017-Mar-29 at 11:33

I'm on a Mac, when I open my shell, it displays the following:

...

ANSWER

Answered 2017-Mar-29 at 11:33

Make sure that you edit the right file. For login shells Bash executes .bash_profile and not #.bash_profile#. The later looks like a backup file created by a text editor or script.

Source https://stackoverflow.com/questions/42955567

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

Vulnerabilities

No vulnerabilities reported

Install torch-ac

Note: If you want to modify torch-ac algorithms, you will need to rather install a cloned version, i.e.:.

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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