2 citations · 3 across the 3 of their papers we have counts for
3 papers
MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning
Luca Furieri, Sucheth Shenoy, Danilo Saccani +2
We introduce magnitude and direction (MAD) policies, a policy parameterization for reinforcement learning (RL) that preserves Lp closed-loop stability for nonlinear dynamical syste…
Table Tennis Stroke Detection and Recognition Using Ball Trajectory Data
Kaustubh Milind Kulkarni, Rohan S Jamadagni, Jeffrey Aaron Paul +1
In this work, the novel task of detecting and classifying table tennis strokes solely using the ball trajectory has been explored. A single camera setup positioned in the umpire's…
Table Tennis Stroke Recognition Using Two-Dimensional Human Pose Estimation
Kaustubh Milind Kulkarni, Sucheth Shenoy
We introduce a novel method for collecting table tennis video data and perform stroke detection and classification. A diverse dataset containing video data of 11 basic strokes obta…