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The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners. Obtaining the teachingbox: FOR USERS: If you want to download the latest releases, please visit: http://search.maven.org/#search|ga|1|teachingbox FOR DEVELOPERS: 1) If you use Apache Maven, just add the following dependency to your pom.xml: <dependency> <groupId>org.sf.teachingbox</groupId> <artifactId>teachingbox-core</artifactId> <version>1.2.3</version> </dependency> 2) If you want to check out the most recent source-code: git clone https://git.code.sf.net/p/teachingbox/core teachingbox-core Documentation: https://sourceforge.net/p/teachingbox/documentation/HEAD/tree/trunk/manual/
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libkine
A serial robot kinematics library
...Feature: --- * [x] DH Paramters * [x] Homogenous transformation matrix * [ ] Screw theory * [ ] Rigid body velocity / Jacobian * [x] 3D Visualization with using STL files Dependencies: --- 1. VTK for visualization 2. Armadillo for matrix calculation 3. FLTK for the joint sider interface How to Install: --- 1. Make sure you have git-lfs installed 2. Clone the repository: git clone git@github.com:auralius/libkine.git 3. Go to the directory of the cloned project, use git-lfs to get the binaries and the robot 3D models: git lfs checkout 4. Build the source using CMake 5. Create directory: mkdir build 6. Go inside build, type: cmake .. 7. ...
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