Tutorials

• Quick Start
  • Get limbo
  • Install the dependencies:
  • Compile Limbo
  • Create a new experiment
  • Edit the “Eval” function to define the function that you want to optimized
  • Build your experiment
  • Run your experiment
  • Analyze the results
• Download and Compilation
  • Download
  • Compilation
• Basic Example
• Advanced Example
  • Problem Statement
  • Basic Layout
  • Adding the forward kinematic model as prior
  • Using State-based bayesian optimization
  • Adding custom stop criterion
  • Creating the evaluation function
  • Creating the experiment
• Statistics / Writing results
  • Writing your own statistics class
• Add External Library
  • Add external library to the wscript of your experiment
  • Example: Add ROS as external library
• Gaussian Process
  • Data
  • Basic usage
  • Hyper-parameter optimization
  • Saving and Loading
• Optimization Sub-API
• Building the documentation