Before revision:  Addressing these issues  , we propose a value propagation method, inspired by Markov reward processes (MRPs) , as a spatial interpolation method, and introduce two variants thereof: (i) a static discount (SD-MRP) and (ii) a data-driven weight prediction (WP-MRP) variant.
After revision:  Addressing these issues , we propose a value propagation method, inspired by Markov reward processes (MRPs) , as a spatial interpolation method, and introduce two variants thereof: (i) a static discount (SD-MRP) and (ii) an accurate but mostly theoretical optimised MRP (O-MRP), and (iii) a transferable weight prediction MRP (WP-MRP) variant.