activity
20242026
most citedResolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety

3 citations · 3 across the 6 of their papers we have counts for

collaborators

8 papers

cs.GT2026

Dynamic Auction Mechanisms in a Closed-Credit Economy: Sequential Slot Reallocation in Air Traffic Management

Jihun Kim, Pan-Yang Su, Maria G. Mendoza +3

Indivisible resources allocated in advance may need to be reallocated when capacity reductions make existing assignments infeasible, yet monetary compensation is often impractical…

cs.MA2026

Persistent LLM Orchestration of Heterogeneous Robot Teams via Partial Delegation to Multi-Agent Protocols

Maria G. Mendoza, Victoria M. Tuck, Zachary Ravichandran +2

Natural language specifications let non-expert users task robot teams, and large language models (LLMs) have recently proven effective at grounding such semantic specifications int…

cs.MA2026

Hierarchical Generative Agents for Simulating Sequential Human Behavior

Maria G. Mendoza, Lucas Waldburger, Jin Lee +1

Complex cognitive, emotional, and social processes shape human evacuations during natural disasters. Accurate modeling and understanding of human behavior in disasters or emergenci…

eess.SY2026

Dynamic Multi-Robot Task Allocation under Uncertainty and Communication Constraints: A Game-Theoretic Approach

Maria G. Mendoza, Pan-Yang Su, Bryce L. Ferguson +1

We study dynamic multi-robot task allocation under uncertain task completion, time-window constraints, and incomplete information. Tasks arrive online over a finite horizon and mus…

cs.MA2026

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…

cs.MA2025

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…

cs.RO2025★ 3 cited

Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety

Jason J. Choi, Jasmine Jerry Aloor, Jingqi Li +3

Preventing collisions in multi-robot navigation is crucial for deployment. This requirement hinders the use of learning-based approaches, such as multi-agent reinforcement learning…

eess.SY2024

Privacy Preserving Mechanisms for Coordinating Airspace Usage in Advanced Air Mobility

Chinmay Maheshwari, Maria G. Mendoza, Victoria Marie Tuck +5

Advanced Air Mobility (AAM) operations are expected to transform air transportation while challenging current air traffic management practices. By introducing a novel market-based…