37 citations · 42 across the 3 of their papers we have counts for
3 papers
stat.ML2022
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets
Yuanying Cai, Chuheng Zhang, Li Zhao +6
We consider an offline reinforcement learning (RL) setting where the agent need to learn from a dataset collected by rolling out multiple behavior policies. There are two challenge…
cs.LG2022★ 5 cited
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection
Yuxin Zhang, Jindong Wang, Yiqiang Chen +2
Unsupervised anomaly detection aims to build models to effectively detect unseen anomalies by only training on the normal data. Although previous reconstruction-based methods have…
cs.LG2021★ 37 cited
AdaRNN: Adaptive Learning and Forecasting of Time Series
Yuntao Du, Jindong Wang, Wenjie Feng +4
Time series has wide applications in the real world and is known to be difficult to forecast. Since its statistical properties change over time, its distribution also changes tempo…