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AI4U | AI4U provides an easy way to connect python code with Unity games | Reinforcement Learning library

 by   gilcoder C# Version: 0.02 License: MIT

 by   gilcoder C# Version: 0.02 License: MIT

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kandi X-RAY | AI4U Summary

AI4U is a C# library typically used in Artificial Intelligence, Reinforcement Learning, Deep Learning, Tensorflow, Unity applications. AI4U has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
AI4U is a neat and easy way to connect a Unity application to Python code. Therefore, it is possible with AI4U plugin connecting games and virtual reality applications to vast libraries set written in Python. Moreover, One provides integration with the latest algorithms implemented by OpenAI, e.g., PPO and PPO2. So, people interested in AI4U can use more recent advances given by OpenAI researchers.
Support
Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • AI4U has a low active ecosystem.
  • It has 23 star(s) with 8 fork(s). There are 4 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 1 open issues and 4 have been closed. On average issues are closed in 127 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of AI4U is 0.02
AI4U Support
Best in #Reinforcement Learning
Average in #Reinforcement Learning
AI4U Support
Best in #Reinforcement Learning
Average in #Reinforcement Learning

quality kandi Quality

  • AI4U has no bugs reported.
AI4U Quality
Best in #Reinforcement Learning
Average in #Reinforcement Learning
AI4U Quality
Best in #Reinforcement Learning
Average in #Reinforcement Learning

securitySecurity

  • AI4U has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
AI4U Security
Best in #Reinforcement Learning
Average in #Reinforcement Learning
AI4U Security
Best in #Reinforcement Learning
Average in #Reinforcement Learning

license License

  • AI4U is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
AI4U License
Best in #Reinforcement Learning
Average in #Reinforcement Learning
AI4U License
Best in #Reinforcement Learning
Average in #Reinforcement Learning

buildReuse

  • AI4U releases are available to install and integrate.
  • Installation instructions, examples and code snippets are available.
AI4U Reuse
Best in #Reinforcement Learning
Average in #Reinforcement Learning
AI4U Reuse
Best in #Reinforcement Learning
Average in #Reinforcement Learning
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AI4U Key Features

Some examples.

Support for multiple environment configurations and training scenarios

Flexible SDK that can be integrated into your game or custom Unity scene

API agnostic, but one provides support to all algorithms implemented by stable-basiles.

Integrated A3C implementation.

Tools for facilated no-markovian decision making.

AI4U can be integrated to Imitation Learning through Behavioral Cloning or Generative Adversarial Imitation Learning present on stable-baslines.

Train robust agents using environment randomization.

Flexible agent control with On Demand Decision Making.

Train using multiple concurrent Unity environment instances.

Unity environment partial control from Python.

Wrap Unity learning environments as a gym.

AI4U Examples and Code Snippets

Community Discussions

Vulnerabilities

No vulnerabilities reported

Install AI4U

First, it needs to install clientside component. Open the Ubuntu command-line console and enter in directory clientside/ai4u. Run the following command:.

Support

#How To Contribute To any interested in making the AI4U better, there is still some documentation that needs to be done. If you want to contribute, please read CONTRIBUTING.md guide first.

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