Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

In VS Code, open your 16-180_Concepts_of_Robotics folder if it is not already open. Open a terminal and run the following: git clone https://github.com/cmu-16-180 ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.