7 citations · 7 across the 1 of their papers we have counts for
3 papers
cs.RO2021
Goal-Driven Autonomous Exploration Through Deep Reinforcement Learning
Reinis Cimurs, Il Hong Suh, Jin Han Lee
In this paper, we present an autonomous navigation system for goal-driven exploration of unknown environments through deep reinforcement learning (DRL). Points of interest (POI) fo…
cs.LG2020★ 7 cited
Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image
Taewon Kim, Yeseong Park, Youngbin Park +1
For a robotic grasping task in which diverse unseen target objects exist in a cluttered environment, some deep learning-based methods have achieved state-of-the-art results using v…
cs.CV2016
Tracking Human-like Natural Motion Using Deep Recurrent Neural Networks
Youngbin Park, Sungphill Moon, Il Hong Suh
Kinect skeleton tracker is able to achieve considerable human body tracking performance in convenient and a low-cost manner. However, The tracker often captures unnatural human pos…