3 citations · 6 across the 5 of their papers we have counts for
4 papers · 1 filter
Meta-Reinforcement Learning via Language Instructions
Zhenshan Bing, Alexander Koch, Xiangtong Yao +2
Although deep reinforcement learning has recently been very successful at learning complex behaviors, it requires a tremendous amount of data to learn a task. One of the fundamenta…
A Biologically Inspired Global Localization System for Mobile Robots Using LiDAR Sensor
Genghang Zhuang, Carlo Cagnetta, Zhenshan Bing +2
Localization in the environment is an essential navigational capability for animals and mobile robots. In the indoor environment, the global localization problem remains challengin…
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation
Zhenshan Bing, Matthias Brucker, Fabrice O. Morin +2
Reinforcement learning algorithms such as hindsight experience replay (HER) and hindsight goal generation (HGG) have been able to solve challenging robotic manipulation tasks in mu…
Energy-Efficient Slithering Gait Exploration for a Snake-like Robot based on Reinforcement Learning
Zhenshan Bing, Christian Lemke, Zhuangyi Jiang +2
Similar to their counterparts in nature, the flexible bodies of snake-like robots enhance their movement capability and adaptability in diverse environments. However, this flexibil…