140 citations · 330 across the 15 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.RO2020★ 1 cited
How does the structure embedded in learning policy affect learning quadruped locomotion?
Kuangen Zhang, Jongwoo Lee, Zhimin Hou +3
Reinforcement learning (RL) is a popular data-driven method that has demonstrated great success in robotics. Previous works usually focus on learning an end-to-end (direct) policy…
cs.RO2020★ 20 cited
Robotic Cane as a Soft SuperLimb for Elderly Sit-to-Stand Assistance
Xia Wu, Haiyuan Liu, Ziqi Liu +6
Many researchers have identified robotics as a potential solution to the aging population faced by many developed and developing countries. If so, how should we address the cogniti…
cs.LG2020★ 10 cited
Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP)
Zhimin Hou, Kuangen Zhang, Yi Wan +3
The optimal policy of a reinforcement learning problem is often discontinuous and non-smooth. I.e., for two states with similar representations, their optimal policies can be signi…