4 citations · 8 across the 5 of their papers we have counts for
6 papers
Strategically Robust Game-Theoretic Multi-Agent Trajectory Optimization
Victor L. Qin, Nicolas Lanzetti, Saverio Bolognani +1
Aviation authorities worldwide expect Advanced Air Mobility (AAM) traffic management to be decentralized among service providers, requiring AAM flights to autonomously plan traject…
Decentralized Autonomous Traffic Management through Corridor Networks
Jasmine Jerry Aloor, Aadarsh Govada, Hamsa Balakrishnan
As autonomous aircraft are introduced at scale and traffic density increases, centralized management becomes insufficient to coordinate the large numbers of crewed and uncrewed air…
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…
Asynchronous Cooperative Multi-Agent Reinforcement Learning with Limited Communication
Sydney Dolan, Siddharth Nayak, Jasmine Jerry Aloor +1
We consider the problem setting in which multiple autonomous agents must cooperatively navigate and perform tasks in an unknown, communication-constrained environment. Traditional…
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…
Cooperation and Fairness in Multi-Agent Reinforcement Learning
Jasmine Jerry Aloor, Siddharth Nayak, Sydney Dolan +1
Multi-agent systems are trained to maximize shared cost objectives, which typically reflect system-level efficiency. However, in the resource-constrained environments of mobility a…