3 papers
cs.RO2021
Adaptive Mimic: Deep Reinforcement Learning of Parameterized Bipedal Walking from Infeasible References
Chong Zhang, Qi Wu, Liqian Ma +1
Not until recently, robust robot locomotion has been achieved by deep reinforcement learning (DRL). However, for efficient learning of parametrized bipedal walking, developed refer…
cs.RO2021
Accessibility-Based Clustering for Efficient Learning of Locomotion Skills
Chong Zhang, Wanming Yu, Zhibin Li
For model-free deep reinforcement learning of quadruped locomotion, the initialization of robot configurations is crucial for data efficiency and robustness. This work focuses on a…
q-bio.NC2016
An active efficient coding model of the optokinetic nystagmus
Chong Zhang, Jochen Triesch, Bertram E. Shi
Optokinetic nystagmus (OKN) is an involuntary eye movement responsible for stabilizing retinal images in the presence of relative motion between an observer and the environment. Fu…