Algorithms for Optimization
By Tim Allan Wheeler, Mykel J. Kochenderfer. 2019
414 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/83af4cbbf3d9b212fabb2eebd6f82d285a91559f
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Citations in the corpus
- Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Control (2022, methodology): “by discretizing the action space, but extending this approach to higher-dimensional action spaces, perhaps by applying stochastic optimization methods such as CMA-ES [91], is an interesting area of future work.”
- Small Towers Make Big Differences (2020, background): “goal programming (Jones et al., 2010), exponential weighted sum (Yu, 1974; Athan and Papalambros, 1996), population methods (Schaffer, 1985), preference elicitation (Conitzer, 2009), among many more (Kochenderfer and Wheeler, 2019). There is also research on multi-objective optimization methods wher”
- Insular intracranial activity identifies multiple facial expressions via diverse, intermixed temporal patterns at the single-contact level (2026, unknown): “The statistical significance of an identification was evaluated using a random permutation procedure 42,44 .”