14 citations · 14 across the 8 of their papers we have counts for
5 papers · 1 filter
Who Bears the Burden? Learning Responsibility for Shared Constraints in Multi-Agent Reinforcement Learning
Xiaoyang Cao, Jingqi Li, Zhe Fu +1
When multiple agents share a cost budget, a common Lagrange multiplier can enforce the aggregate constraint but does not determine how its penalty should be allocated across agents…
Dynamic Lane Allocation in UAM Corridors for Efficient Multimodal Door-to-Door Mobility
Jung Ho Park, Jordan Kam, Vishwanath Bulusu +2
This article presents dynamic directional lane allocation in urban air mobility (UAM) corridors as a discrete-time mixed-integer linear program (MILP). This formulation activates,…
Learning to Recommend in Unknown Games
Arwa Alanqary, Zakaria Baba, Manxi Wu +1
We study preference learning through recommendations in multi-agent game settings, where a moderator repeatedly interacts with agents whose utility functions are unknown. In each r…
Unsupervised Anomaly Detection in Multi-Agent Trajectory Prediction via Transformer-Based Models
Qing Lyu, Zhe Fu, Alexandre Bayen
Identifying safety-critical scenarios is essential for autonomous driving, but the rarity of such events makes supervised labeling impractical. Traditional rule-based metrics like…
Average Unfairness in Routing Games
Pan-Yang Su, Arwa Alanqary, Bryce L. Ferguson +3
We propose average unfairness as a new measure of fairness in routing games, defined as the ratio between the average latency and the minimum latency experienced by users. This mea…