A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation

no code implementations • 11 Jul 2018 • Behnoosh Parsa, Keshav Rajasekaran, Franziska Meier, Ashis G. Banerjee

One of the challenges in model-based control of stochastic dynamical systems is that the state transition dynamics are involved, and it is not easy or efficient to make good-quality predictions of the states.

Model-based Reinforcement Learning regression