Preferential Bayesian Optimization with Crash Feedback
Preferential Bayesian Optimization with Crash Feedback explores A Bayesian optimization framework that reduces experimental crashes and improves data efficiency in robotics by incorporating user feedback on preferences and crashes.. Commercial viability score: 7/10 in Robotics Optimization.
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