Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Li, Sarah H. Q."'
Autor:
Li, Sarah H. Q., Vinod, Abraham P.
We formulate a Markov potential game with final-time reach-avoid objectives by integrating potential game theory with stochastic reach-avoid control. Our focus is on multi-player trajectory planning where players maximize the same multi-player reach-
Externí odkaz:
http://arxiv.org/abs/2410.17690
Autor:
Li, Sarah H. Q., Dörfler, Florian
Motivated by how forecast errors exacerbate order fluctuations in supply chains, we leverage robust feedback controller synthesis to characterize, compute, and minimize the worst-case order fluctuation experienced by an individual supply chain vendor
Externí odkaz:
http://arxiv.org/abs/2404.01090
In competitive multi-player interactions, simultaneous optimality is a key requirement for establishing strategic equilibria. This property is explicit when the game-theoretic equilibrium is the simultaneously optimal solution of coupled optimization
Externí odkaz:
http://arxiv.org/abs/2403.16223
We consider the problem of optimally controlling stochastic, Markovian systems subject to joint chance constraints over a finite-time horizon. For such problems, standard Dynamic Programming is inapplicable due to the time correlation of the joint ch
Externí odkaz:
http://arxiv.org/abs/2312.10495
In the vision of urban air mobility, air transport systems serve the demands of urban communities by routing flight traffic in networks formed by vertiports and flight corridors. We develop a routing algorithm to ensure that the air traffic flow fair
Externí odkaz:
http://arxiv.org/abs/2310.00135
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 disturbances, or fuel limitations. In this manuscript, we introduce the
Externí odkaz:
http://arxiv.org/abs/2304.06625
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 congestion cost. Players within the game complete individual tasks wh
Externí odkaz:
http://arxiv.org/abs/2212.04122
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. To this end, we generalize the Bellman and policy evaluation operato
Externí odkaz:
http://arxiv.org/abs/2207.07271
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 domains: 1) network-structured player interactions, 2) pair-wise mixe
Externí odkaz:
http://arxiv.org/abs/2205.02760
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 stochastic demands as a congestion game under Markov decision process
Externí odkaz:
http://arxiv.org/abs/2203.12133