activity
20182026
most citedIndependent and Decentralized Learning in Markov Potential Games

6 citations · 29 across the 16 of their papers we have counts for

collaborators
Showing cs.GTShow all

9 papers · 1 filter

cs.GT2023

Information Design for Spatial Resource Allocation

Ozan Candogan, Manxi Wu

In this paper, we study platforms where resources and jobs are spatially distributed, and resources have the flexibility to strategically move to different locations for better pay…

cs.GT2023★ 1 cited

Market Design for Capacity Sharing in Networks

Saurabh Amin, Patrick Jaillet, Haripriya Pulyassary +1

We study a market mechanism that sets edge prices to incentivize strategic agents to efficiently share limited network capacity. In this market, agents form coalitions, with each c…

cs.GT2023★ 2 cited

Markov -Potential Games

Xin Guo, Xinyu Li, Chinmay Maheshwari +2

We propose a new framework of Markov -potential games to study Markov games. We show that any Markov game with finite-state and finite-action is a Markov -potential game, and…

cs.GT2022★ 1 cited

Inducing Social Optimality in Games via Adaptive Incentive Design

Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu +1

How can a social planner adaptively incentivize selfish agents who are learning in a strategic environment to induce a socially optimal outcome in the long run? We propose a two-ti…

cs.GT2021★ 1 cited

Multi-agent Bayesian Learning with Best Response Dynamics: Convergence and Stability

Manxi Wu, Saurabh Amin, Asuman Ozdaglar

We study learning dynamics induced by strategic agents who repeatedly play a game with an unknown payoff-relevant parameter. In this dynamics, a belief estimate of the parameter is…

cs.GT2021★ 4 cited

Efficient Carpooling and Toll Pricing for Autonomous Transportation

Saurabh Amin, Patrick Jaillet, Manxi Wu

In this paper, we address the existence and computation of competitive equilibrium in the transportation market for autonomous carpooling first proposed by [Ostrovsky and Schwarz,…

cs.GT2018★ 4 cited

Value of Information in Bayesian Routing Games

Manxi Wu, Saurabh Amin, Asuman E. Ozdaglar

We study a routing game in an environment with multiple heterogeneous information systems and an uncertain state that affects edge costs of a congested network. Each information sy…

cs.GT2018

Securing Infrastructure Facilities: When does proactive defense help?

Manxi Wu, Saurabh Amin

Infrastructure systems are increasingly facing new security threats due to the vulnerabilities of cyber-physical components that support their operation. In this article, we invest…

cs.GT2018

Signaling Game-based Misbehavior Inspection in V2I-enabled Highway Operations

Manxi Wu, Li Jin, Saurabh Amin +1

Vehicle-to-Infrastructure (V2I) communications are increasingly supporting highway operations such as electronic toll collection, carpooling, and vehicle platooning. In this paper…