3 papers
math.OC2026
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…
cs.RO2026
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…
math.OC2026
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…