Oct 11, 2024 , A. Bemporad, ^Learning-based stochastic model predictive control for autonomous driving at uncontrolled intersections, ̄ 2023, submitted for publication.
Oct 23, 2024 , We integrate DiffusionSeeder to generate the seed trajectories for cuRobo, a GPU-accelerated motion optimization method, which results in 12x speed up on ...
Oct 17, 2024 , To 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, 2024 , This paper surveys the machine learning literature and presents in an optimization framework several commonly used machine learning approaches.
1 day ago , We consider the class of iterative shrinkage-thresholding algorithms (ISTA) for solving linear inverse problems arising in signal/image processing.
Oct 23, 2024 , By leveraging the efficient fitting and differ- entiability of KDDTs, we propose a system of learning parameterized feature transformations for decision trees.
Oct 21, 2024 , Collision-Free Robot Navigation in Crowded Environments Using Learning Based Convex Model Predictive Control. Wen, ZhuangLei, China Jiliang University. Dong ...
Oct 15, 2024 , Understand optimization techniques such as gradient descent, conjugate gradient, Newton's method. Learn the basics of convex optimization. Consider obstacle ...
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