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Beyond expected values: Making environmental decisions using value of information analysis when measurement outcome matters
In ecological and environmental contexts, management actions must someti...
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Cross-Entropy Estimators for Sequential Experiment Design with Reinforcement Learning
Reinforcement learning can effectively learn amortised design policies f...
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Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals
Many real-world optimisation problems are defined over both categorical ...
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Optimizing Sequential Experimental Design with Deep Reinforcement Learning
Bayesian approaches developed to solve the optimal design of sequential ...
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