3 citations · 7 across the 6 of their papers we have counts for
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cs.LG2024★ 1 cited
Towards Generalized Inverse Reinforcement Learning
Chaosheng Dong, Yijia Wang
This paper studies generalized inverse reinforcement learning (GIRL) in Markov decision processes (MDPs), that is, the problem of learning the basic components of an MDP given obse…
cs.LG2021★ 1 cited
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning
Chaosheng Dong, Xiaojie Jin, Weihao Gao +5
Deep learning models in large-scale machine learning systems are often continuously trained with enormous data from production environments. The sheer volume of streaming training…
cs.LG2020★ 3 cited
Inverse Multiobjective Optimization Through Online Learning
Chaosheng Dong, Yijia Wang, Bo Zeng
We study the problem of learning the objective functions or constraints of a multiobjective decision making model, based on a set of sequentially arrived decisions. In particular,…