consensus-maddpg | pytorch implementation of MADDPG on Multi-Agent Particle

 by   ICE-5 Python Version: Current License: No License

kandi X-RAY | consensus-maddpg Summary

kandi X-RAY | consensus-maddpg Summary

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

This is a pytorch implementation of MADDPG on Multi-Agent Particle Environment(MPE), the corresponding paper of MADDPG is Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments.
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            kandi-support Support

              consensus-maddpg has a low active ecosystem.
              It has 3 star(s) with 0 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 7 have been closed. On average issues are closed in 0 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of consensus-maddpg is current.

            kandi-Quality Quality

              consensus-maddpg has no bugs reported.

            kandi-Security Security

              consensus-maddpg has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              consensus-maddpg 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

              consensus-maddpg releases are not available. You will need to build from source code and install.
              consensus-maddpg has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed consensus-maddpg and discovered the below as its top functions. This is intended to give you an instant insight into consensus-maddpg implemented functionality, and help decide if they suit your requirements.
            • Train the agent
            • One - hot encode X
            • Get the action of an observation
            • Add noise to X
            • Make an instance of the environment
            • Parse arguments
            • Burnin memory
            Get all kandi verified functions for this library.

            consensus-maddpg Key Features

            No Key Features are available at this moment for consensus-maddpg.

            consensus-maddpg Examples and Code Snippets

            No Code Snippets are available at this moment for consensus-maddpg.

            Community Discussions

            No Community Discussions are available at this moment for consensus-maddpg.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install consensus-maddpg

            Directly run the main.py, then the algrithm will be tested on scenario 'simple_tag' for 10 episodes, using the pretrained model.

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            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/ICE-5/consensus-maddpg.git

          • CLI

            gh repo clone ICE-5/consensus-maddpg

          • sshUrl

            git@github.com:ICE-5/consensus-maddpg.git

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