3 papers
cs.LG2026
Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation
Tao Zhe, Huazhen Fang, Kunpeng Liu +3
Feature transformation enhances downstream task performance by generating informative features through mathematical feature crossing. Despite the advancements in deep learning, fea…
cs.RO2025
MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games
Maulik Bhatt, Iman Askari, Yue Yu +3
Modern robotic systems frequently engage in complex multi-agent interactions, many of which are inherently multi-modal, i.e., they can lead to multiple distinct outcomes. To intera…
cs.RO2025
Bayesian Inferential Motion Planning Using Heavy-Tailed Distributions
Ali Vaziri, Iman Askari, Huazhen Fang
Robots rely on motion planning to navigate safely and efficiently while performing various tasks. In this paper, we investigate motion planning through Bayesian inference, where mo…