research
∙
04/04/2023
HALO: Hazard-Aware Landing Optimization for Autonomous Systems
With autonomous aerial vehicles enacting safety-critical missions, such ...
share
research
∙
07/15/2022
Set-based value operators for non-stationary Markovian environments
This paper analyzes finite state Markov Decision Processes (MDPs) with u...
research
∙
03/23/2022
Congestion-aware path coordination game with Markov decision process dynamics
Inspired by the path coordination problem arising from robo-taxis, wareh...
research
∙
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...
research
∙
08/05/2021
Advances in Trajectory Optimization for Space Vehicle Control
Space mission design places a premium on cost and operational efficiency...
research
∙
06/16/2021
Convex Optimization for Trajectory Generation
Reliable and efficient trajectory generation methods are a fundamental n...
research
∙
11/07/2020
Stability of Gradient Learning Dynamics in Continuous Games: Vector Action Spaces
Towards characterizing the optimization landscape of games, this paper a...
research
∙
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...
research
∙
07/14/2020
Disturbance Decoupling for Gradient-based Multi-Agent Learning with Quadratic Costs
Motivated by applications of multi-agent learning in noisy environments,...
research
∙
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...
research
∙
01/13/2020
Fixed Points of the Set-Based Bellman Operator
Motivated by uncertain parameters encountered in Markov decision process...
research
∙
09/09/2019
Sensitivity Analysis for Markov Decision Process Congestion Games
We consider a non-atomic congestion game where each decision maker perfo...
research
∙
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 ...
research
∙
03/02/2019
Tolling for Constraint Satisfaction in Markov Decision Process Congestion Games
Markov decision process (MDP) congestion game is an extension of classic...
research
∙
07/06/2016