Reinforcement learning, mostly. The parts I keep circling back to are multi-agent learning, environment design, and the question of when an agent should stop gathering information and commit.
Thanks for this, this is a concrete post. So the selection step itself is treated pretty informally. Parents either set hard thresholds or build a weighted spreadsheet and either way we’re collapsing a pretty rich posterior into a single number per embryo, the reports already carry more information than that approach uses. Before touching weights at all, we can drop embryos that are worse on every trait the couple cares about. If an embryo is strictly dominated by another, there’s no preference structure under which it’s the right pick so we can eliminate ... (read more)
Thanks for this, this is a concrete post. So the selection step itself is treated pretty informally. Parents either set hard thresholds or build a weighted spreadsheet and either way we’re collapsing a pretty rich posterior into a single number per embryo, the reports already carry more information than that approach uses. Before touching weights at all, we can drop embryos that are worse on every trait the couple cares about. If an embryo is strictly dominated by another, there’s no preference structure under which it’s the right pick so we can eliminate ... (read more)