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Oct 11, 2024A. Bemporad, ^Learning-based stochastic model predictive control for autonomous driving at uncontrolled intersections, ̄ 2023, submitted for publication.
Oct 23, 2024We integrate DiffusionSeeder to generate the seed trajectories for cuRobo, a GPU-accelerated motion optimization method, which results in 12x speed up on ...
Oct 17, 2024To efficiently train large models on HPC clusters, various parallelism strategies have been developed to partition and distribute models across GPUs and nodes.
8 days ago... MPC control law as a convex optimization problem amenable to implementation on embedded systems. Simulation results are presented and discussed ...
Oct 21, 2024... optimization, and nonlinear model predictive control. In simulation and real robot tests, we demonstrate that our motion-anisotropy-aware navigation ...
Oct 22, 2024This paper surveys the machine learning literature and presents in an optimization framework several commonly used machine learning approaches.
1 day agoWe consider the class of iterative shrinkage-thresholding algorithms (ISTA) for solving linear inverse problems arising in signal/image processing.
Oct 23, 2024By leveraging the efficient fitting and differ- entiability of KDDTs, we propose a system of learning parameterized feature transformations for decision trees.
Oct 21, 2024Collision-Free Robot Navigation in Crowded Environments Using Learning Based Convex Model Predictive Control. Wen, ZhuangLei, China Jiliang University. Dong ...
Oct 15, 2024Understand optimization techniques such as gradient descent, conjugate gradient, Newton's method. Learn the basics of convex optimization. Consider obstacle ...
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