Hanqi Zhao — accepted AI-conference papers

2026

A Hitchhiker's Guide to Poisson Gradient Estimation

Michael Ibrahim, Hanqi Zhao, Eli Sennesh, Zhi Li, Anqi Wu, Jacob Yates +2

ICML 2026poster

Poisson-distributed latent variable models are widely used in computational neuroscience, but differentiating through discrete stochastic samples remains challenging. Two approaches address this: *Exponential Arrival Time* (EAT) simulation and *Gumbel-SoftMax* (GSM) relaxation. We provide the first …

Cited by 0 Source ↗Scholar ↗

2025

HDPlanner: Advancing Autonomous Deployments in Unknown Environments Through Hierarchical Decision Networks

Jingsong Liang, Yuhong Cao, Yixiao Ma, Hanqi Zhao, Guillaume Sartoretti

RA-L 2025

In this paper, we introduce HDPlanner, a deep reinforcement learning (DRL) based framework designed to tackle two core and challenging tasks for mobile robots: autonomous exploration and navigation, where the robot must optimize its trajectory adaptively to achieve the task objective through continu

Cited by 16 Source ↗Scholar ↗