4 papers
Adaptive Local Measurements For Quantum Learning Can Exponentially Outperform Nonadaptive Global Measurements
Alireza Goldar, Zhen Qin, Zhihui Zhu +2
Can measurements chosen adaptively, in response to earlier outcomes, be exponentially more informative than measurements fixed in advance? In many quantum settings, adaptivity help…
The Robot Is Not Its Description: GaugeBench for Representation Robustness in Morphology-Aware Policies
Rahath Malladi, Arshia Sangwan, Rajesh K. Gupta +1
A robot description does more than specify a physical mechanism: it also encodes arbitrary conventions, such as joint-axis direction, joint-angle zero, and the order and names of l…
HiVAE: Hierarchical Latent Variables for Scalable Theory of Mind
Nigel Doering, Rahath Malladi, Arshia Sangwan +2
Theory of mind (ToM) enables AI systems to infer agents' hidden goals and mental states, but existing approaches focus mainly on small human understandable gridworld spaces. We int…
SANGO: Socially Aware Navigation through Grouped Obstacles
Rahath Malladi, Amol Harsh, Arshia Sangwan +2
This paper introduces SANGO (Socially Aware Navigation through Grouped Obstacles), a novel method that ensures socially appropriate behavior by dynamically grouping obstacles and a…