SPEAKER_03 defines the current sim-to-real approach as modeling real-world tasks in simulated environments and training on those environments with reinforcement learning in data centers.

“I mean, there's one question about whether this current paradigm of doing like sim to real will be the dominant one forever. So basically, you look at what the real world tasks are like, and then you try to create a bunch of environments that can be simulated, like in the data center and you can do RL on them.”