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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