kusanagi | Library for model based RL in robotics | Robotics library
kandi X-RAY | kusanagi Summary
kandi X-RAY | kusanagi Summary
kusanagi is a Python library typically used in Manufacturing, Utilities, Machinery, Process, Automation, Robotics applications. kusanagi has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Library for model based RL in robotics
Library for model based RL in robotics
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Quality
Security
License
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Support
kusanagi has a low active ecosystem.
It has 34 star(s) with 8 fork(s). There are 12 watchers for this library.
It had no major release in the last 6 months.
kusanagi has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of kusanagi is current.
Quality
kusanagi has 0 bugs and 0 code smells.
Security
kusanagi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
kusanagi code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
kusanagi is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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kusanagi 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.
Installation instructions are not available. Examples and code snippets are available.
kusanagi saves you 3735 person hours of effort in developing the same functionality from scratch.
It has 7972 lines of code, 425 functions and 65 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed kusanagi and discovered the below as its top functions. This is intended to give you an instant insight into kusanagi implemented functionality, and help decide if they suit your requirements.
- Create a scenario for a given experiment
- Build the network
- Set the parameters
- Update the masks
- Runs a pilco experiment
- Execute a controller
- Begins a new episode
- Add a sample
- Plots training and cost vs prediction
- Plot the cost of the experiment
- Run a controller
- Plot learning results
- Optimizes the model
- Calculate the adjustment of the target experience
- Train the inverse dynamics model
- Setup the MIPP model
- Compute the joint distribution of x and y
- Optimize a given task
- Returns the output for the given input
- Train the objective function
- Saves the file to disk
- Loads the instance state
- Compute the KL loss of the KL divergence
- Calculate the output for a given input
- Save a snapshot of archived files
- Evaluate a policy
Get all kandi verified functions for this library.
kusanagi Key Features
No Key Features are available at this moment for kusanagi.
kusanagi Examples and Code Snippets
No Code Snippets are available at this moment for kusanagi.
Community Discussions
Trending Discussions on kusanagi
QUESTION
Multiple file project in golang
Asked 2018-Apr-30 at 17:08
ANSWER
Answered 2018-Apr-30 at 17:08You're close. What you have:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install kusanagi
You can download it from GitHub.
You can use kusanagi 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.
You can use kusanagi 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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