[P] Some clarification needed on controlling outputs of multiple models
The ‘mental’ picture I have in my head is that I have 2 models, a RNN and a CNN. These models take data (sensory and Image) from a self driving car simulator (CARLA). The output of both the models will be a set of instructions to keep the car in the center lane (and later on braking, speedingup etc)
My question is, what is the best approach to combine the outputs. so the RNN with output (lets assume) steer 40o, the CNN with output steer 35o. what approach should I take for finding out which is the best course to take.
Or should I be looking at other models (R-CNNs) or possible another approach for model building.