26 citations · 81 across the 13 of their papers we have counts for
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cs.LG2021
Probability Density Estimation Based Imitation Learning
Yang Liu, Yongzhe Chang, Shilei Jiang +3
Imitation Learning (IL) is an effective learning paradigm exploiting the interactions between agents and environments. It does not require explicit reward signals and instead tries…
cs.LG2021★ 18 cited
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation
Tiantian Zhang, Xueqian Wang, Bin Liang +1
The powerful learning ability of deep neural networks enables reinforcement learning agents to learn competent control policies directly from continuous environments. In theory, to…
cs.RO2021
Orientation to Pose: Continuum Robots Shape Sensing Based on Piecewise Polynomial Curvature Model
Hao Cheng, Hongji Shang, Bin Lan +3
Continuum robots are typically slender and flexible with infinite freedoms in theory, which poses a challenge for their control and application. The shape sensing of continuum robo…