no code implementations • 25 Sep 2019 • Xin Ye, Shibin Zheng, Yezhou Yang
Despite significant progress in Robotic Object Search (ROS) over the recent years with deep reinforcement learning based approaches, the sparsity issue in reward setting as well as the lack of interpretability of the previous ROS approaches leave much to be desired.
no code implementations • 21 Sep 2018 • Xin Ye, Zhe Lin, Joon-Young Lee, Jianming Zhang, Shibin Zheng, Yezhou Yang
We study the problem of learning a generalizable action policy for an intelligent agent to actively approach an object of interest in an indoor environment solely from its visual inputs.
no code implementations • 30 Jul 2018 • Xin Ye, Zhe Lin, Haoxiang Li, Shibin Zheng, Yezhou Yang
We study the problem of learning a navigation policy for a robot to actively search for an object of interest in an indoor environment solely from its visual inputs.