8 citations · 22 across the 16 of their papers we have counts for
4 papers · 1 filter
Optimizing Team Behavior via Extremum-seeking Control in Multi-agent Reinforcement Learning
Svar Rajankumar Patel, Kshitij Jerath
In cooperative Multi-Agent Reinforcement Learning (MARL), agents must learn to coordinate their actions to achieve shared objectives. A key indicator of effective coordination is b…
Relational Weight Optimization for Enhancing Team Performance in Multi-Agent Multi-Armed Bandits
Monish Reddy Kotturu, Saniya Vahedian Movahed, Paul Robinette +3
We introduce an approach to improve team performance in a Multi-Agent Multi-Armed Bandit (MAMAB) framework using Fastest Mixing Markov Chain (FMMC) and Fastest Distributed Linear A…
Graph Attention Inference of Network Topology in Multi-Agent Systems
Akshay Kolli, Reza Azadeh, Kshitj Jerath
Accurately identifying the underlying graph structures of multi-agent systems remains a difficult challenge. Our work introduces a novel machine learning-based solution that levera…
Impact of Relational Networks in Multi-Agent Learning: A Value-Based Factorization View
Yasin Findik, Paul Robinette, Kshitij Jerath +1
Effective coordination and cooperation among agents are crucial for accomplishing individual or shared objectives in multi-agent systems. In many real-world multi-agent systems, ag…