An amortized reinforcement learning method enables immediate, observation-driven sequential optimization of genetic circuits while accounting for both intrinsic stochasticity and cross-laboratory variability without repeated inference steps.
2023.Bayesian optimization
2 Pith papers cite this work. Polarity classification is still indexing.
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Rule-based and learning-based algorithms simplify dance motions to help novices learn more effectively while maintaining naturalness and style.
citing papers explorer
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Sequential Design of Genetic Circuits Under Uncertainty With Reinforcement Learning
An amortized reinforcement learning method enables immediate, observation-driven sequential optimization of genetic circuits while accounting for both intrinsic stochasticity and cross-laboratory variability without repeated inference steps.
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Make it Simple, Make it Dance: Dance Motion Simplification to Support Novices' Dance Learning
Rule-based and learning-based algorithms simplify dance motions to help novices learn more effectively while maintaining naturalness and style.