Hello,
Would like to ask the community, if anyone has suggestion on representing a single state from multiple sub-states for rl training.
For example, I have a substate that is represented by a 2d tensor (width by height). But then i have another substate represented as a vector of n inputs.
With these two sub-states, I would like to combine them to represent 1 input state to my neural architecture.
I’m not sure if it would be valid to perhaps convert the 2d tensor substate into a 1d tensor and append the other vector input to it?
Appreciate any suggestions or advice, tku!