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20092022
most citedGuSTO: Guaranteed Sequential Trajectory Optimization via Sequential Convex Programming

119 citations · 355 across the 60 of their papers we have counts for

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15 papers · 1 filter

eess.SY2022

Adaptive Robust Model Predictive Control via Uncertainty Cancellation

Rohan Sinha, James Harrison, Spencer M. Richards +1

We propose a learning-based robust predictive control algorithm that compensates for significant uncertainty in the dynamics for a class of discrete-time systems that are nominally…

eess.SY2022

Differentially Private Stochastic Convex Optimization for Network Routing Applications

Matthew Tsao, Karthik Gopalakrishnan, Kaidi Yang +1

Network routing problems are common across many engineering applications. Computing optimal routing policies requires knowledge about network demand, i.e., the origin and destinati…

eess.SY20221 cited

Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand

Daniele Gammelli, Kaidi Yang, James Harrison +3

Autonomous Mobility-on-Demand (AMoD) systems represent an attractive alternative to existing transportation paradigms, currently challenged by urbanization and increasing travel ne…

eess.SY20225 cited

Data-Driven Chance Constrained Control using Kernel Distribution Embeddings

Adam J. Thorpe, Thomas Lew, Meeko M. K. Oishi +1

We present a data-driven algorithm for efficiently computing stochastic control policies for general joint chance constrained optimal control problems. Our approach leverages the t…

eess.SY2021

Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems

Daniele Gammelli, Kaidi Yang, James Harrison +3

Autonomous mobility-on-demand (AMoD) systems represent a rapidly developing mode of transportation wherein travel requests are dynamically handled by a coordinated fleet of robotic…

eess.SY2021

Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty

Rohan Sinha, James Harrison, Spencer M. Richards +1

We propose a learning-based robust predictive control algorithm that compensates for significant uncertainty in the dynamics for a class of discrete-time systems that are nominally…