1 code implementation • 23 Mar 2023 • Ziyang Lu, Yunqiang Pei, Guoqing Wang, Yang Yang, Zheng Wang, Heng Tao Shen
Despite their effectiveness, existing methods suffer from the difficulty of low recognition accuracy in cases of multiple adjacent objects with similar appearances. To address this issue, this work intuitively introduces the human-robot interaction as a cue to facilitate the development of 3D visual grounding.
no code implementations • 24 Dec 2021 • Ziyang Lu, M. Cenk Gursoy
In this paper, we address the channel access problem in a dynamic wireless environment via meta-reinforcement learning.
no code implementations • 20 Aug 2019 • Chen Zhong, Ziyang Lu, M. Cenk Gursoy, Senem Velipasalar
We consider both a single-user case and a scenario in which multiple users attempt to access channels simultaneously.
no code implementations • 8 Oct 2018 • Chen Zhong, Ziyang Lu, M. Cenk Gursoy, Senem Velipasalar
We consider the dynamic multichannel access problem, which can be formulated as a partially observable Markov decision process (POMDP).