6 citations · 16 across the 25 of their papers we have counts for
7 papers · 1 filter
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…
Evader-Agnostic Team-Based Pursuit Strategies in Partially-Observable Environments
Addison Kalanther, Daniel Bostwick, Chinmay Maheshwari +1
We consider a scenario where a team of two unmanned aerial vehicles (UAVs) pursue an evader UAV within an urban environment. Each agent has a limited view of their environment wher…
Coordinated Autonomous Drones for Human-Centered Fire Evacuation in Partially Observable Urban Environments
Maria G. Mendoza, Addison Kalanther, Daniel Bostwick +3
Autonomous drone technology holds significant promise for enhancing search and rescue operations during evacuations by guiding humans toward safety and supporting broader emergency…
Convergence of Decentralized Actor-Critic Algorithm in General-sum Markov Games
Chinmay Maheshwari, Manxi Wu, Shankar Sastry
Markov games provide a powerful framework for modeling strategic multi-agent interactions in dynamic environments. Traditionally, convergence properties of decentralized learning a…