Brains also have several other inputs that an RL algorithm trained from raw data (pixels/waves etc) don't have: - Millions of years of evolution (and hence thi

Brains also have several other inputs that an RL algorithm trained from raw data (pixels/waves etc) don't have: - Millions of years of evolution (and hence things like walking/swimming/hunting are usually not acquired characteristics even within mammals) - Memory - and I don't mean the neural network raw weights. I mean concepts/places/things/faces and so on that is already processed and labeled and ready to go. - Also we don't know what we don't know - how do cephalopods/us differ in 'intelligence'? I am not trying to poo-poo the Dreamer kind of work: I am just waiting for someone to release a game that actually uses RL as part of the core logic (Sony's GT Sophy comes close). Such a thing would be so cool and would not (necessarily) use pixels as they are too far downstream from the direct internal state!