CEDL_Policy_gradient | In this assignment , we will solve the classic control

by brade31919 Jupyter Notebook Version: Current License: No License

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kandi X-RAY | CEDL_Policy_gradient Summary

CEDL_Policy_gradient is a Jupyter Notebook library. CEDL_Policy_gradient has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

In this assignment, we will solve the classic control problem - CartPole. CartPole is an environment which contains a pendulum attached by an un-actuated joint to a cart, and the goal is to prevent it from falling over. You can apply a force of +1 or -1 to the cart. A reward of +1 is provided for every timestep that the pendulum remains upright.

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Quality

Security

License

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Support

CEDL_Policy_gradient has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of CEDL_Policy_gradient is current.

Quality

CEDL_Policy_gradient has no bugs reported.

Security

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

License

CEDL_Policy_gradient does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Installation instructions are available. Examples and code snippets are not available.

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CEDL_Policy_gradient Key Features

No Key Features are available at this moment for CEDL_Policy_gradient.

CEDL_Policy_gradient Examples and Code Snippets

No Code Snippets are available at this moment for CEDL_Policy_gradient.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install CEDL_Policy_gradient

If you are using a new environment (may be virtual), the preferred approach for installing above dependencies is to use Anaconda, which is a Python distribution that includes many of the most popular Python packages for science, math, engineering and data analysis.
OpenAI gym
TensorFlow
Numpy
Scipy
IPython Notebook
Install Anaconda: Follow the instructions on the Anaconda download site.
Install TensorFlow: See anaconda section of TensorFlow installation page.
Install OpenAI gym: Follow the official installation documents here.

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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