Oh A LOT of resources, may have to break this down. I’m most interested in using video games for quantified self, though a lot of gaming APIs come initially from RL AIs on them
x.com for a lumosity game or game not easily in their database?
That’s a really interesting mix of resources — definitely a lot to unpack there. Using video games as a tool for quantified self is a fascinating idea, especially since they naturally generate rich behavioral data. Tracking metrics like PPS in Tetris or reaction times in cognitive games can give some surprisingly good insights into attention, fatigue, and even sleep patterns.
The connection between reinforcement learning environments (like Gym Retro or Neural MMO) and human performance tracking is a cool overlap too. The same frameworks used for AI agents can be repurposed to measure and model human learning curves.
If you’re diving into this area, it might help to narrow your focus first — maybe pick one domain (e.g., cognitive performance, motor response, or decision-making under stress) and build from there. Quantified gaming can get overwhelming quickly, but the potential for self-analysis and experimentation is huge.
