15 citations · 18 across the 10 of their papers we have counts for
5 papers · 1 filter
ArcLP: A Matlab implementation of an arc-search infeasible interior-point algorithm for linear programming
Yang, Yaguang
This paper presents a Matlab implementation of an arc-search infeasible interior point algorithm for linear programming (LP), which has a proven polynomial bound of $\mathcal{O}(\s…
Combining Reinforcement Learning with Arc-search Interior-Point Method for Path Planning
Yaguang Yang, Qiang Le, Isaac E. Weintraub
Path planning in environments containing obstacles has numerous practical applications. The problem is challenging because it is inherently nonlinear and nonconvex. Consequently, a…
Path Planning Using Deep Deterministic Policy Gradient: A Reinforcement Learning Approach
Qiang Le, Yaguang Yang, Isaac E. Weintraub
Path-planning for autonomous vehicles in threat-laden environments is a fundamental challenge because the problem is nonlinear and nonconvex even in simplest scenarios. While tradi…
An arc-search BFGS algorithm for unconstrained nonlinear optimization problems
Yaguang Yang
The classical BFGS algorithm performs excellently for convex optimization problems. However, for non-convex problems, the classical BFGS method may fail to converge reliably. To ov…
A Comparison of Reinforcement Learning and Optimal Control Methods for Path Planning
Qiang Le, Yaguang Yang, Isaac E. Weintraub
Path-planning for autonomous vehicles in threat-laden environments is a fundamental challenge. While traditional optimal control methods can find ideal paths, the computational tim…