Earlier quoted context omitted.
This reminds me of something I read on reinforcement learning playing Atari / video games ... often you see the Deep net (I think the game in question was a tank game) just spazzing out on the controller when there’s no enemy, the tank was spinning on the spot while waiting for a door to open for example. Initially thought just to probably be some numerical instability when the next actions are all equally likely (I.…
Do you have a source on this? I was under the impression that machine learning is only good at learning things that can be approximated by continuous functions. A RNG is almost the complete opposite of that. It's everywhere discontinuous!
Some games were worse, far worse. Doom used a list of 256 random numbers that it looped through.
Pokemon is another game where the RNG function is extensively mapped, and even used in combination with bugs to generate Mew events, something that should never ever happen.
You see a lot of TAS of old games, especially popular ones, that abuse the RNG generator where feasible.