Watch a neural net discover molecules by arguing with itself
SMRTR summary
A neural network learns to design new molecules by essentially arguing with itself. Each training episode, the system creates two versions of itself — one cautious, one exploratory — and whichever version learns more from its own mistakes takes over. This self-adjusting process is especially powerful in situations where useful feedback is rare, automatically balancing exploration and focus without any human intervention.
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