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mpcrl-cbf

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

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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

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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
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Packages
data.4tu.nl

Reference papers

Contributors

FA
Filippo Airaldi

Member of community

4TU