Map-Elites-Evolutionary | Map-Elites based on Evolution Strategies

 by   uber-research Python Version: Current License: Non-SPDX

kandi X-RAY | Map-Elites-Evolutionary Summary

kandi X-RAY | Map-Elites-Evolutionary Summary

Map-Elites-Evolutionary is a Python library typically used in Financial Services, Insurance applications. Map-Elites-Evolutionary has no bugs, it has no vulnerabilities, it has build file available and it has low support. However Map-Elites-Evolutionary has a Non-SPDX License. You can download it from GitHub.

best_policy.json: the json storing the parameters of the best controller, its performance, behavioral characterization and observation statistics (for input normalization). config.json: provides all the parameters for a given run. See config.py file for details of each parameter. out.logs: the output logs. results.csv: the csv collecting all the stats about the run. policies (folder) contains all policy files for each cell of the behavioral map, filenames are the cell ids. archive (folder) contains states about the archive.
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            kandi-support Support

              Map-Elites-Evolutionary has a low active ecosystem.
              It has 19 star(s) with 2 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Map-Elites-Evolutionary has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Map-Elites-Evolutionary is current.

            kandi-Quality Quality

              Map-Elites-Evolutionary has no bugs reported.

            kandi-Security Security

              Map-Elites-Evolutionary has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Map-Elites-Evolutionary has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              Map-Elites-Evolutionary 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Map-Elites-Evolutionary and discovered the below as its top functions. This is intended to give you an instant insight into Map-Elites-Evolutionary implemented functionality, and help decide if they suit your requirements.
            • Run optimizer
            • Add a new population
            • Logs observations statistics
            • Find the cell id associated to a given boundary
            • Save a policy to disk
            • Calculate objective for each population
            • Compute the gradient of the fitness function
            • Normalize fitness
            • Compute novelty and novelty
            • Collect results from a list of polynomials
            • Runs a sampling algorithm
            • Log iteration information
            • Logs observation statistics
            • Add a new individual
            • Calculate population results
            • Compute the novelty of a bcs
            • Collect the results from a list of polynomials
            • Run a Poisson rollout batch
            • Perform rollout on the model
            • Perform a single step
            • Compute the gradients of the fitness function
            • Resets the state of the model
            • Start a new training task
            • Run an eval_rollout batch
            • Start a single step
            • Perform a single step
            • Set up the configuration
            • Reset the model
            Get all kandi verified functions for this library.

            Map-Elites-Evolutionary Key Features

            No Key Features are available at this moment for Map-Elites-Evolutionary.

            Map-Elites-Evolutionary Examples and Code Snippets

            No Code Snippets are available at this moment for Map-Elites-Evolutionary.

            Community Discussions

            No Community Discussions are available at this moment for Map-Elites-Evolutionary.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install Map-Elites-Evolutionary

            You can download it from GitHub.
            You can use Map-Elites-Evolutionary 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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            https://github.com/uber-research/Map-Elites-Evolutionary.git

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            gh repo clone uber-research/Map-Elites-Evolutionary

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            git@github.com:uber-research/Map-Elites-Evolutionary.git

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