Trajectory Planning with Deep Reinforcement Learning in High-Level Action Spaces

Kyle R. Williams, Rachel Schlossman, Daniel Whitten +8

This paper presents a technique for trajectory planning based on continuously parameterized high-level actions (motion primitives) of variable duration. This technique leverages de…