1 code implementation • 28 Mar 2023 • Yu-Peng Wu, Hong Qian, Rong-Jun Qin, Yi Chen, Aimin Zhou
Then, a many-objective EA is used for optimization in the low-dimensional discrete solution space to obtain a well-spaced Pareto front.
no code implementations • 19 Aug 2022 • Rong-Jun Qin, Fan-Ming Luo, Hong Qian, Yang Yu
This paper addresses policy learning in non-stationary environments and games with continuous actions.
no code implementations • 27 Nov 2019 • Rong-Jun Qin, Jing-Cheng Pang, Yang Yu
However, learning to beat a pool in stochastic games, i. e., a wide distribution over policy models, is either sample-consuming or insufficient to exploit all models with limited amount of samples.
no code implementations • 22 May 2019 • Xiaohu Lu, Rong-Jun Qin, Xu Huang
Nowadays dense stereo matching has become one of the dominant tools in 3D reconstruction of urban regions for its low cost and high flexibility in generating dense 3D points.
no code implementations • 22 May 2019 • Xu Huang, Rong-Jun Qin
Given enough multi-view image corresponding points (also called tie points) and ground control points (GCP), bundle adjustment for high-resolution satellite images is used to refine the orientations or most often used geometric parameters Rational Polynomial Coefficients (RPC) of each satellite image in a unified geodetic framework, which is very critical in many photogrammetry and computer vision applications.