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mpcrl-cbf

Source code for the publication: Probabilistically safe and efficient model-based Reinforcement Learning

1
contributor

Description

Source code for the implementation and simulation of Model Predictive Control-based RL algorithms leveraging probabilistic Control Barrier Function formulations to enforce safety of state trajectories with arbitrary probability

Keywords
Control Barrier Function
Model predictive control
Reinforcement learning
Terminal Cost Approximation
Programming languages
  • Python 75%
  • Other 20%
  • Markdown 3%
  • Matlab 1%
  • YAML 1%
License
  • MIT
</>Source code
4TU.
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Reference papers

Contributors

FA
Filippo Airaldi
0000-0001-6595-2932

Member of community

4TU
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