8 citations · 17 across the 17 of their papers we have counts for
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cs.LG2023
Personalized Path Recourse for Reinforcement Learning Agents
Dat Hong, Tong Wang
This paper introduces Personalized Path Recourse, a novel method that generates recourse paths for a reinforcement learning agent. The goal is to edit a given path of actions to ac…
cs.CL2023★ 1 cited
An Empirical Study of Instruction-tuning Large Language Models in Chinese
Qingyi Si, Tong Wang, Zheng Lin +3
The success of ChatGPT validates the potential of large language models (LLMs) in artificial general intelligence (AGI). Subsequently, the release of LLMs has sparked the open-sour…