This paper develops a system called RoboArchitect that automates the design of robotic agents by learning to optimize their harnesses, which determine when the agent interacts with the environment. A practitioner might care about this because it could significantly improve the performance of robotic agents without requiring significant updates to their underlying models.
Firehose
Filtered to Papers, tagged “robotic manipulation” · clear filters
Browse: People · Companies · Papers · Podcasts · Hacker News · Deep dives