research
∙
08/15/2023
Active Inverse Learning in Stackelberg Trajectory Games
Game-theoretic inverse learning is the problem of inferring the players'...
share
research
∙
08/10/2023
Strategic Decision-Making in Multi-Agent Domains: A Weighted Potential Dynamic Game Approach
In interactive multi-agent settings, decision-making complexity arises f...
research
∙
03/08/2023
Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent Interactions
In this work, we develop a scalable, local trajectory optimization algor...
research
∙
10/04/2022
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing
In 2021, the Coordinated Science Laboratory CSL, an Interdisciplinary Re...
research
∙
06/17/2022
Efficient Constrained Multi-Agent Interactive Planning using Constrained Dynamic Potential Games
Although dynamic games provide a rich paradigm for modeling agents' inte...
research
∙
04/22/2022
Stackelberg Routing of Autonomous Cars in Mixed-Autonomy Traffic Networks
As autonomous cars are becoming tangible technologies, road networks wil...
research
∙
12/11/2021
Learning Contraction Policies from Offline Data
This paper proposes a data-driven method for learning convergent control...
research
∙
10/03/2021
Maximum-Entropy Multi-Agent Dynamic Games: Forward and Inverse Solutions
In this paper, we study the problem of multiple stochastic agents intera...
research
∙
09/29/2021
Decentralized Role Assignment in Multi-Agent Teams via Empirical Game-Theoretic Analysis
We propose a method, based on empirical game theory, for a robot operati...
research
∙
07/10/2021
Potential iLQR: A Potential-Minimizing Controller for Planning Multi-Agent Interactive Trajectories
Many robotic applications involve interactions between multiple agents w...
research
∙
10/16/2020
RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch
Successful robotic operation in stochastic environments relies on accura...
research
∙
04/17/2019
An Extended Game-Theoretic Model for Aggregate Lane Choice Behavior of Vehicles at Traffic Diverges with a Bifurcating Lane
Road network junctions, such as merges and diverges, often act as bottle...
research
∙
04/02/2019
Pricing Traffic Networks with Mixed Vehicle Autonomy
In a traffic network, vehicles normally select their routes selfishly. C...
research
∙
01/16/2019
How Will the Presence of Autonomous Vehicles Affect the Equilibrium State of Traffic Networks?
It is known that connected and autonomous vehicles are capable of mainta...
research
∙
09/08/2018
