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20192026
most citedIndependent and Decentralized Learning in Markov Potential Games

6 citations · 16 across the 25 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

cs.GT2026

Dynamic Auction Mechanisms in a Closed-Credit Economy: Sequential Slot Reallocation in Air Traffic Management

Jihun Kim, Pan-Yang Su, Maria G. Mendoza +3

Indivisible resources allocated in advance may need to be reallocated when capacity reductions make existing assignments infeasible, yet monetary compensation is often impractical…

cs.MA2026

Distributed Learning of -Potential Functions in Strategic Multi-agent Systems

Yifei Chen, Chinmay Maheshwari

We study the problem of computing the tightest \(α\)-potential approximation of a general-sum game over continuous action spaces, within a prescribed class of potential functions a…

cs.MA2026

Orchestrating Level- Policies Against Unknown Opponents in Partially-Observable Dynamic Games

Addison Kalanther, Sanika Bharvirkar, Daniel Bostwick +2

Level- reasoning generates a hierarchy of policies specialized to opponents with different reasoning levels. When an opponent's level is unknown, a common deployment rule estima…

cs.MA2026

Nash Approximation Gap in Truncated Infinite-horizon Partially Observable Markov Games

Lan Sang, Chinmay Maheshwari

Partially Observable Markov Games (POMGs) provide a general framework for modeling multi-agent sequential decision-making under asymmetric information. A common approach is to refo…

cs.LG2026

NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning

Addison Kalanther, Sanika Bharvirkar, Shankar Sastry +1

Multi-agent reinforcement learning (MARL) is increasingly used to design learning-enabled agents that interact in shared environments. However, training MARL algorithms in general-…

cs.MA2026

Resilient Decentralized Ergodic Coverage for Scalable Multi-Robot Systems in Unknown Time-Varying Environments

Maria G. Mendoza, Victoria Marie Tuck, Chinmay Maheshwari +1

Maintaining situational awareness in high-stakes multi-robot applications requires balancing exploration of unobserved regions with sustained monitoring of changing Regions of Inte…

cs.GT2026

Game-to-Real Gap: Quantifying the Effect of Model Misspecification in Network Games

Bryce L. Ferguson, Chinmay Maheshwari, Manxi Wu +1

Game-theoretic models and solution concepts provide rigorous tools for predicting collective behavior in multi-agent systems. In practice, however, different agents may rely on dif…