81 citations · 620 across the 58 of their papers we have counts for
10 papers · 1 filter
Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback
Yijie Zhou, Yan Zhang, Xusheng Luo +1
In this paper, we consider a robot navigation problem in environments populated by humans. The goal is to determine collision-free and dynamically feasible trajectories that also m…
Boosting One-Point Derivative-Free Online Optimization via Residual Feedback
Yan Zhang, Yi Zhou, Kaiyi Ji +1
Zeroth-order optimization (ZO) typically relies on two-point feedback to estimate the unknown gradient of the objective function. Nevertheless, two-point feedback can not be used f…
NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search
Xiaoyu Kou, Bingfeng Luo, Huang Hu +1
Link prediction is the task of predicting missing connections between entities in the knowledge graph (KG). While various forms of models are proposed for the link prediction task,…
Learning Posterior and Prior for Uncertainty Modeling in Person Re-Identification
Yan Zhang, Zhilin Zheng, Binyu He +1
Data uncertainty in practical person reID is ubiquitous, hence it requires not only learning the discriminative features, but also modeling the uncertainty based on the input. This…
Progressive Multi-stage Feature Mix for Person Re-Identification
Yan Zhang, Binyu He, Li Sun
Image features from a small local region often give strong evidence in person re-identification task. However, CNN suffers from paying too much attention on the most salient local…
Cooperative Multi-Agent Reinforcement Learning with Partial Observations
Yan Zhang, Michael M. Zavlanos
In this paper, we propose a distributed zeroth-order policy optimization method for Multi-Agent Reinforcement Learning (MARL). Existing MARL algorithms often assume that every agen…