HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
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Updated
Nov 16, 2023 - Python
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
This project implements grid-based FastSLAM1.0 and FastSLAM2.0 algorithms to solve SLAM problem in a simulated environment.
Accelerating Monte Carlo methods for Bayesian inference in dynamical models
Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables
Correlated pseudo-marginal Metropolis-Hastings using quasi-Newton proposals
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