1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Action Mapping for Reinforcement Learning in Continuous Environments with Constraints
Mirco Theile, Lukas Dirnberger, Raphael Trumpp +2
Deep reinforcement learning (DRL) has had success across various domains, but applying it to environments with constraints remains challenging due to poor sample efficiency and slo…
cs.CV2022★ 1 cited
6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic Grasping
Hongpeng Cao, Lukas Dirnberger, Daniele Bernardini +2
6D pose recognition has been a crucial factor in the success of robotic grasping, and recent deep learning based approaches have achieved remarkable results on benchmarks. However,…