20 Dec
2021
20 Dec
'21
4:49 p.m.
[spam][looking around the neighborhood at bikesheds while my scooter drives around on its own] daydreaming on a seed setup part - maybe there could be large-n reinforcement learning models - maybe they could each have a random location in m-dimensional space, and be able to move themselves in their action space. this produces relative distance. - idea of exposing model-specific weights based on distance - idea of observation and action spaces could include neighbor weights, so different kinds of communication evolve. there could also be data that is not weights. then there's the idea of stimulating it to take off learning faster and faster. maybe it would make sense to advance wire models so that they learn to teach other to learn.