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Rutgers University
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Escaping the curse of dimensionality in multistage stochastic optimization is now possible: multilevel Monte Carlo methods can reduce scenario complexity from exponential to polynomial.
Turns out, robotic manipulation policies struggle with tasks requiring memory, and this benchmark reveals the architectural design choices that actually matter for improving performance.
