DT² trains digital twins to preserve pairwise policy rankings from fitted Q-evaluation on offline data rather than minimizing one-step transition errors, improving policy ranking and reducing decision regret.
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A workshop report catalogues challenges and solution pathways for verification, engineering, and architecting reliable autonomous systems.
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$\text{DT}^2$: Decision-Targeted Digital Twins
DT² trains digital twins to preserve pairwise policy rankings from fitted Q-evaluation on offline data rather than minimizing one-step transition errors, improving policy ranking and reducing decision regret.
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Engineering Reliable Autonomous Systems: Challenges and Solutions
A workshop report catalogues challenges and solution pathways for verification, engineering, and architecting reliable autonomous systems.