activity
20232026
most citedPassivity Tools for Hybrid Learning Rules in Large Populations

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Time-To-Reach Separation and Safety Filtering for Safe, Fair, and Efficient Multi-Agent Coordination

Matthew Low, Jasmine Jerry Aloor, Victoria Marie Tuck +2

Advanced Air Mobility operations are expected to significantly increase aerial traffic in urban airspace, requiring autonomous traffic management systems to ensure collision-free o…

eess.SY2024

Compositional Planning for Logically Constrained Multi-Agent Markov Decision Processes

Krishna C. Kalagarla, Matthew Low, Rahul Jain +2

Designing control policies for large, distributed systems is challenging, especially in the context of critical, temporal logic based specifications (e.g., safety) that must be met…

math.DS2024★ 1 cited

Passivity Tools for Hybrid Learning Rules in Large Populations

Jair Certorio, Kevin Chang, Nuno C. Martins +2

Recent work has pioneered the use of system-theoretic passivity to study equilibrium stability for the dynamics of noncooperative strategic interactions in large populations of lea…

cs.LG2024

Pure Exploration for Constrained Best Mixed Arm Identification with a Fixed Budget

Dengwang Tang, Rahul Jain, Ashutosh Nayyar +1

In this paper, we introduce the constrained best mixed arm identification (CBMAI) problem with a fixed budget. This is a pure exploration problem in a stochastic finite armed bandi…

cs.LG2023

Posterior Sampling-based Online Learning for Episodic POMDPs

Dengwang Tang, Dongze Ye, Rahul Jain +2

Learning in POMDPs is known to be significantly harder than in MDPs. In this paper, we consider the online learning problem for episodic POMDPs with unknown transition and observat…