The material-characterization reinforcement-learning environment rewards correct phase identification and penalizes spurious or chemically implausible phases.

“But again,”

“now the reinforcement learning environment is fairly straightforward,”

“which is you're going to reward the identification.”

“of the phases present you're going to penalize spurious phases or things that don't have any like real chemical plausibility so that that's like a you know a little sustaining thing where you can kind of do this for the different pieces and when you stitch this together that's the end-to-end discovery loop and”