18 citations · 18 across the 1 of their papers we have counts for
3 papers
cs.LG2019★ 18 cited
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
Jingwei Zhang, Niklas Wetzel, Nicolai Dorka +2
Exploration in sparse reward reinforcement learning remains an open challenge. Many state-of-the-art methods use intrinsic motivation to complement the sparse extrinsic reward sign…
cs.RO2018
Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning
Oleksii Zhelo, Jingwei Zhang, Lei Tai +2
This paper investigates exploration strategies of Deep Reinforcement Learning (DRL) methods to learn navigation policies for mobile robots. In particular, we augment the normal ext…
cs.RO2018
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
Jingwei Zhang, Lei Tai, Peng Yun +4
In this paper, we deal with the reality gap from a novel perspective, targeting transferring Deep Reinforcement Learning (DRL) policies learned in simulated environments to the rea…