6 citations · 17 across the 11 of their papers we have counts for
11 papers
Blameless and Optimal Control under Prioritized Safety Constraints
Natalia Pavlasek, Sarah H. Q. Li, Behçet Açıkmeşe +2
In many resource-limited optimal control problems, multiple constraints may be enforced that are jointly infeasible due to external factors such as subsystem failures, unexpected d…
Reducing Collision Risk in Multi-Agent Path Planning: Application to Air traffic Management
Sarah H. Q. Li, Avi Mittal, Pierre-Loïc Garoche +2
To minimize collision risks in the multi-agent path planning problem with stochastic transition dynamics, we formulate a Markov decision process congestion game with a multi-linear…
Set-based value operators for non-stationary Markovian environments
Sarah H. Q. Li, Assalé Adjé, Pierre-Loïc Garoche +1
This paper analyzes finite state Markov Decision Processes (MDPs) with uncertain parameters in compact sets and re-examines results from robust MDP via set-based fixed point theory…
General sum stochastic games with networked information flows
Sarah H. Q. Li, Lillian J. Ratliff, Peeyush Kumar
Inspired by applications such as supply chain management, epidemics, and social networks, we formulate a stochastic game model that addresses three key features common across these…
Congestion-aware path coordination game with Markov decision process dynamics
Sarah H. Q. Li, Dan Calderone, Behcet Acikmese
Inspired by the path coordination problem arising from robo-taxis, warehouse management, and mixed-vehicle routing problems, we model a group of heterogeneous players responding to…
Disturbance Decoupling for Gradient-based Multi-Agent Learning with Quadratic Costs
Sarah H. Q. Li, Lillian Ratliff, Behçet Açıkmeşe
Motivated by applications of multi-agent learning in noisy environments, this paper studies the robustness of gradient-based learning dynamics with respect to disturbances. While d…
Bounding Fixed Points of Set-Based Bellman Operator and Nash Equilibria of Stochastic Games
Sarah H. Q. Li, Assalé, Adjé +2
Motivated by uncertain parameters encountered in Markov decision processes (MDPs) and stochastic games, we study the effect of parameter uncertainty on Bellman operator-based algor…
Sensitivity Analysis for Markov Decision Process Congestion Games
Sarah H. Q. Li, Daniel Calderone, Lillian Ratliff +1
We consider a non-atomic congestion game where each decision maker performs selfish optimization over states of a common MDP. The decision makers optimize for their own expected co…
Adaptive Constraint Satisfaction for Markov Decision Process Congestion Games: Application to Transportation Networks
Sarah H. Q. Li, Yue Yu, Nicolas Miguel +3
Under the Markov decision process (MDP) congestion game framework, we study the problem of enforcing population distribution constraints on a population of players with stochastic…
Tolling for Constraint Satisfaction in Markov Decision Process Congestion Games
Sarah H. Q. Li, Yue Yu, Daniel Calderone +2
Markov decision process (MDP) congestion game is an extension of classic congestion games, where a continuous population of selfish agents solves Markov decision processes with con…
Variable Demand and Multi-commodity Flow in Markovian Network Equilibrium
Yue Yu, Dan Calderone, Sarah H. Q. Li +2
Markovian network equilibrium generalizes the classical Wardrop equilibrium in network games. At a Markovian network equilibrium, each player of the game solves a Markov decision p…