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Found 2 papers, 1 papers with code
CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design
Sampling-based Model Predictive Control (MPC) has been a practical and effective approach in many domains, notably model-based reinforcement learning, thanks to its flexibility and parallelizability.
Improving sample efficiency of high dimensional Bayesian optimization with MCMC
Sequential optimization methods are often confronted with the curse of dimensionality in high-dimensional spaces.
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