tensorflow-policy-gradient

 by   crazydonkey200 Python Version: Current License: No License

kandi X-RAY | tensorflow-policy-gradient Summary

kandi X-RAY | tensorflow-policy-gradient Summary

tensorflow-policy-gradient is a Python library. tensorflow-policy-gradient has no bugs, it has no vulnerabilities and it has low support. However tensorflow-policy-gradient build file is not available. You can download it from GitHub.

tensorflow-policy-gradient
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            kandi-support Support

              tensorflow-policy-gradient has a low active ecosystem.
              It has 12 star(s) with 2 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              tensorflow-policy-gradient has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of tensorflow-policy-gradient is current.

            kandi-Quality Quality

              tensorflow-policy-gradient has 0 bugs and 0 code smells.

            kandi-Security Security

              tensorflow-policy-gradient has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              tensorflow-policy-gradient code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              tensorflow-policy-gradient does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              tensorflow-policy-gradient releases are not available. You will need to build from source code and install.
              tensorflow-policy-gradient has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              tensorflow-policy-gradient saves you 180 person hours of effort in developing the same functionality from scratch.
              It has 445 lines of code, 17 functions and 4 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed tensorflow-policy-gradient and discovered the below as its top functions. This is intended to give you an instant insight into tensorflow-policy-gradient implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Generate a batch of paths
            • Returns a list of actions for a given observation
            • Pad a batch of episodes to a given duration
            • Get single action
            • Reset the network
            Get all kandi verified functions for this library.

            tensorflow-policy-gradient Key Features

            No Key Features are available at this moment for tensorflow-policy-gradient.

            tensorflow-policy-gradient Examples and Code Snippets

            No Code Snippets are available at this moment for tensorflow-policy-gradient.

            Community Discussions

            No Community Discussions are available at this moment for tensorflow-policy-gradient.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install tensorflow-policy-gradient

            You can download it from GitHub.
            You can use tensorflow-policy-gradient 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.

            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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            CLONE
          • HTTPS

            https://github.com/crazydonkey200/tensorflow-policy-gradient.git

          • CLI

            gh repo clone crazydonkey200/tensorflow-policy-gradient

          • sshUrl

            git@github.com:crazydonkey200/tensorflow-policy-gradient.git

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