基本信息
浏览量:17
职业迁徙
个人简介
I believe Reinforcement Learning is a vital component of the solution for achieving AGI. My previous work on deep reinforcement learning is motivated by reality-centric applications like robotics, healthcare💉, finance, and large language models. My research keywords during the past years include:
RL in Language Models. (2023-); Interpretable RL (2023-);
Uncertainty Quantification (2022-); Data-Centric Off-Policy Evaluation (2022-);
Value-Based Deep-RL (2021-); Offline RL (2021-); Optimism in Exploration (2021-);
Continuous Control via Supervised Learning (2020-); Goal-Conditioned RL (2020-)
RL in Robotics (2019-)
RL in Language Models. (2023-); Interpretable RL (2023-);
Uncertainty Quantification (2022-); Data-Centric Off-Policy Evaluation (2022-);
Value-Based Deep-RL (2021-); Offline RL (2021-); Optimism in Exploration (2021-);
Continuous Control via Supervised Learning (2020-); Goal-Conditioned RL (2020-)
RL in Robotics (2019-)
研究兴趣
论文共 37 篇作者统计合作学者相似作者
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crossref(2024)
CoRR (2024)
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arXiv (Cornell University) (2023)
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Neural Networks (2023): 506-519
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