7 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Solving Richly Constrained Reinforcement Learning through State Augmentation and Reward Penalties
Hao Jiang, Tien Mai, Pradeep Varakantham +1
Constrained Reinforcement Learning has been employed to enforce safety constraints on policy through the use of expected cost constraints. The key challenge is in handling expected…
cs.RO2021
A Q-learning Control Method for a Soft Robotic Arm Utilizing Training Data from a Rough Simulator
Peijin Li, Gaotian Wang, Hao Jiang +4
It is challenging to control a soft robot, where reinforcement learning methods have been applied with promising results. However, due to the poor sample efficiency, reinforcement…
cs.RO2020★ 7 cited
Design, Control, and Applications of a Soft Robotic Arm
Hao Jiang, Zhanchi Wang, Yusong Jin +5
This paper presents the design, control, and applications of a multi-segment soft robotic arm. In order to design a soft arm with large load capacity, several design principles are…