6 citations · 16 across the 25 of their papers we have counts for
4 papers · 2 filters
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…
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…
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…
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…