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

no code implementations • 30 Sep 2021 • Kyle R. Williams, Rachel Schlossman, Daniel Whitten, Joe Ingram, Srideep Musuvathy, Anirudh Patel, James Pagan, Kyle A. Williams, Sam Green, Anirban Mazumdar, Julie Parish

Effectiveness of the technique is demonstrated numerically on a well-studied trajectory generation problem and a planning problem on a known obstacle-rich map.

reinforcement-learning Reinforcement Learning (RL) +2

Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report

no code implementations • 14 Sep 2019 • Rishi Shah, Yuqian Jiang, Haresh Karnan, Gilberto Briscoe-Martinez, Dominick Mulder, Ryan Gupta, Rachel Schlossman, Marika Murphy, Justin W. Hart, Luis Sentis, Peter Stone

RoboCup@Home is an international robotics competition based on domestic tasks requiring autonomous capabilities pertaining to a large variety of AI technologies.