Marine Vehicle Reinforcement Learning

Overview

Examples of how to use Reinforcement Learning (RL) in the context of marine vehicle control.

Current version

much better!

Past version 1 - simple AUV dynamics and control

tag_00_Dec2023_simpleControlTurbulence - this contains an image of the repository before first major refactoring. This version of the code may be used to reproduce the results presented in this conference paper. This is no longer maintained but should still work and provide a useful reference. This version of the code can be cited with:

@software{Lidtke_2023_7981976,
  author       = {Lidtke, Artur K.},
  title        = {Underwater Vehicle Reinforcement Learning},
  month        = May,
  year         = 2023,
  publisher    = {Zenodo},
  version      = {v1.0},
  doi          = {10.5281/zenodo.7981976},
  url          = {https://doi.org/10.5281/zenodo.7981976}
}