%0 Computer Program
%A Airaldi, Filippo
%D 2025
%T Source code for the publication: Probabilistically safe and efficient model-based Reinforcement Learning
%U 
%R 10.4121/14bd06bf-7168-4791-94e6-a33c4279d466.v1
%K Model Predictive Control
%K Reinforcement Learning
%K Control Barrier Function
%K Terminal Cost Approximation
%X <p>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</p>
%I 4TU.ResearchData