most citedDecoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills

2 citations · 2 across the 3 of their papers we have counts for

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cs.LG2024

Towards Pattern-aware Data Augmentation for Temporal Knowledge Graph Completion

Jiasheng Zhang, Deqiang Ouyang, Shuang Liang +1

Predicting missing facts for temporal knowledge graphs (TKGs) is a fundamental task, called temporal knowledge graph completion (TKGC). One key challenge in this task is the imbala…

cs.LG2023★ 2 cited

Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills

Hongcai He, Anjie Zhu, Shuang Liang +2

Offline meta-reinforcement learning (meta-RL) methods, which adapt to unseen target tasks with prior experience, are essential in robot control tasks. Current methods typically uti…