12 papers
AI Coaching for Accelerating Human Skill Development with Reinforcement Learning
Wei Wang, Enlin Gu, Antonio Loquercio +2
AI copilots can substantially boost human performance through shared control, but excessive assistance can induce over-reliance and skill atrophy. This paper studies how an embodie…
Multiagent Social Influence: Modeling Persuasion in Contested Social Networks
Renukanandan Tumu, Cristian Ioan Vasile, Victor Preciado +1
We present the Social Influence Game (SIG), a framework for modeling adversarial persuasion in social networks with an arbitrary number of competing players. Our goal is to provide…
AdaptNC: Adaptive Nonconformity Scores for Conformal Prediction under Distribution Shift
Renukanandan Tumu, Aditya Singh, Rahul Mangharam
Rigorous uncertainty quantification is essential for the safe deployment of autonomous systems in unconstrained environments. Conformal Prediction (CP) provides a distribution-free…
Failure-Aware Iterative Learning of State-Control Invariant Sets
Ahmad Amine, Nick-Marios T. Kokolakis, Ugo Rosolia +2
In this paper, we address the problem of computing maximal state-control invariant sets using failing trajectories. We introduce the concept of state-control invariance, which exte…
Toward Single-Step MPPI via Differentiable Predictive Control
Viet-Anh Le, Renukanandan Tumu, Rahul Mangharam
Model predictive path integral (MPPI) is a sampling-based method for solving complex model predictive control (MPC) problems, but its real-time implementation faces two key challen…
Bridging the Gap between Discrete Agent Strategies in Game Theory and Continuous Motion Planning in Dynamic Environments
Hongrui Zheng, Zhijun Zhuang, Stephanie Wu +2
Generating competitive strategies and performing continuous motion planning simultaneously in an adversarial setting is a challenging problem. In addition, understanding the intent…