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A Parallel Optimization Toolkit for Nonlinear Model Predictive Control (NMPC)
Bayesian optimization in high-dimensions via random embedding.
Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP-HMM). Implemented in Matlab.
Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance