A toolbox for a Model-based Reinforcement learning technique.
Some features included:
- Database management and analysis
- A library of basis functions to be used in data-fitting stage
- 3D Graphical simulation for some benchmark examples
- Different model identification techniques
The toolbox also includes a benchmarking of different learning algorithms with various settings on multiple nonlinear systems. The resutls are generated for different nonlinear systems including:
- Dynamic vehicle system
- Quadrotor system
- Chaotic Lorenz system
- ...
