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20152026
most citedD2C 2.0: Decoupled Data-Based Approach for Learning to Control Stochastic Nonlinear Systems via Model-Free ILQR

2 citations · 5 across the 19 of their papers we have counts for

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cs.RO2023

Learning to Control under Uncertainty with Data-Based Iterative Linear Quadratic Regulator

Ran Wang, Raman Goyal, Suman Chakravorty

This paper studies the learning-to-control problem under process and sensing uncertainties for dynamical systems. In our previous work, we developed a data-based generalization of…

cs.RO2015★ 1 cited

Motion Planning in Non-Gaussian Belief Spaces (M3P): The Case of a Kidnapped Robot

Saurav Agarwal, Amirhossein Tamjidi, Suman Chakravorty

Planning under uncertainty is a key requirement for physical systems due to the noisy nature of actuators and sensors. Using a belief space approach, planning solutions tend to gen…