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Featured Co-authors

Marco Pavone
151 publications
Yue Yu
98 publications
Lillian J. Ratliff
32 publications
Karen Leung
20 publications
Thomas Lew
17 publications
Lillian Ratliff
14 publications
Riccardo Bonalli
13 publications
Masahiro Ono
11 publications
Sarah H. Q. Li
10 publications
Pierre-Loïc Garoche
7 publications
Samuel A. Burden
6 publications

∙ 04/04/2023

HALO: Hazard-Aware Landing Optimization for Autonomous Systems

With autonomous aerial vehicles enacting safety-critical missions, such ...

0 Christopher R. Hayner, et al. ∙

∙ 07/15/2022

Set-based value operators for non-stationary Markovian environments

This paper analyzes finite state Markov Decision Processes (MDPs) with u...

0 Sarah H. Q. Li, et al. ∙

∙ 03/23/2022

Congestion-aware path coordination game with Markov decision process dynamics

Inspired by the path coordination problem arising from robo-taxis, wareh...

0 Sarah H. Q. Li, et al. ∙

∙ 10/13/2021

Guided Policy Search using Sequential Convex Programming for Initialization of Trajectory Optimization Algorithms

Nonlinear trajectory optimization algorithms have been developed to hand...

0 Taewan Kim, et al. ∙

∙ 08/05/2021

Advances in Trajectory Optimization for Space Vehicle Control

Space mission design places a premium on cost and operational efficiency...

0 Danylo Malyuta, et al. ∙

∙ 06/16/2021

Convex Optimization for Trajectory Generation

Reliable and efficient trajectory generation methods are a fundamental n...

0 Danylo Malyuta, et al. ∙

∙ 11/07/2020

Stability of Gradient Learning Dynamics in Continuous Games: Vector Action Spaces

Towards characterizing the optimization landscape of games, this paper a...

0 Benjamin J. Chasnov, et al. ∙

∙ 11/07/2020

Stability of Gradient Learning Dynamics in Continuous Games: Scalar Action Spaces

Learning processes in games explain how players grapple with one another...

0 Benjamin J. Chasnov, et al. ∙

∙ 07/14/2020

Disturbance Decoupling for Gradient-based Multi-Agent Learning with Quadratic Costs

Motivated by applications of multi-agent learning in noisy environments,...

0 Sarah H. Q. Li, et al. ∙

∙ 01/22/2020

Bounding Fixed Points of Set-Based Bellman Operator and Nash Equilibria of Stochastic Games

Motivated by uncertain parameters encountered in Markov decision process...

0 Sarah H. Q. Li, et al. ∙

∙ 01/13/2020

Fixed Points of the Set-Based Bellman Operator

Motivated by uncertain parameters encountered in Markov decision process...

0 Sarah H. Q. Li, et al. ∙

∙ 09/09/2019

Sensitivity Analysis for Markov Decision Process Congestion Games

We consider a non-atomic congestion game where each decision maker perfo...

0 Sarah H. Q. Li, et al. ∙

∙ 07/21/2019

Online Constraint Satisfaction via Tolls in MDP Congestion Games

We consider the toll design problem that arise for a game designer of a ...

0 Sarah H. Q. Li, et al. ∙

∙ 03/02/2019

Tolling for Constraint Satisfaction in Markov Decision Process Congestion Games

Markov decision process (MDP) congestion game is an extension of classic...

0 Sarah H. Q. Li, et al. ∙

∙ 07/06/2016

Mixed Strategy for Constrained Stochastic Optimal Control

Choosing control inputs randomly can result in a reduced expected cost i...

0 Masahiro Ono, et al. ∙

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