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2025 ICML ICML 2025

DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Shuyuan Wang, Philip D Loewen, Michael Forbes, Bhushan Gopaluni, Wei Pan

Topics

Artificial Intelligence > Core AI > Agent Systems Machine Learning > Optimization & Theory > Neural Network Optimization Deep Learning > Optimization & Theory > Optimization

Keywords

implicit differentiation computational performance gradient differentiable iterative linear quadratic regulator end-to-end tasks ilqr
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