no code implementations • 2 Apr 2019 • Walid Abdullah Al, Il Dong Yun, Eun Ju Chun
In this paper, we propose a centerline depth-based reinforcement learning (RL) world for effective orifice localization in a small search space.
reinforcement-learning Reinforcement Learning (RL)