8 citations · 22 across the 16 of their papers we have counts for
7 papers · 1 filter
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…
Relational Q-Functionals: Multi-Agent Learning to Recover from Unforeseen Robot Malfunctions in Continuous Action Domains
Yasin Findik, Paul Robinette, Kshitij Jerath +1
Cooperative multi-agent learning methods are essential in developing effective cooperation strategies in multi-agent domains. In robotics, these methods extend beyond multi-robot s…
Energy-Guided Data Sampling for Traffic Prediction with Mini Training Datasets
Zhaohui Yang, Kshitij Jerath
Recent endeavors aimed at forecasting future traffic flow states through deep learning encounter various challenges and yield diverse outcomes. A notable obstacle arises from the s…
Multi-scale Traffic Flow Modeling: A Renormalization Group Approach
Zhaohui Yang, Kshitij Jerath
Traffic flow modeling is typically performed at one of three different scales (microscopic, mesoscopic, or macroscopic), each with distinct modeling approaches. Recent works that a…
Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation
Niket Kathiriya, Hossein Haeri, Cindy Chen +1
Many modern systems, such as financial, transportation, and telecommunications systems, are time-sensitive in the sense that they demand low-latency predictions for real-time decis…
Human-guided Swarms: Impedance Control-inspired Influence in Virtual Reality Environments
Spencer Barclay, Kshitij Jerath
Prior works in human-swarm interaction (HSI) have sought to guide swarm behavior towards established objectives, but may be unable to handle specific scenarios that require finer h…