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cs.LG2022
Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble
Chao Li
Deep reinforcement learning (DRL) provides a new way to generate robot control policy. However, the process of training control policy requires lengthy exploration, resulting in a…
cs.LG2022
DBT-DMAE: An Effective Multivariate Time Series Pre-Train Model under Missing Data
Kai Zhang, Qinmin Yang, Chao Li
Multivariate time series(MTS) is a universal data type related to many practical applications. However, MTS suffers from missing data problems, which leads to degradation or even c…
cs.LG2022★ 3 cited
Permutation Search of Tensor Network Structures via Local Sampling
Chao Li, Junhua Zeng, Zerui Tao +1
Recent works put much effort into tensor network structure search (TN-SS), aiming to select suitable tensor network (TN) structures, involving the TN-ranks, formats, and so on, for…