基本信息
浏览量:29
职业迁徙
个人简介
I am interested in adaptivity v.s. control in learning systems, knowledge representation and language systems.
My PhD research is targeted at making Reinforcement Learning agents comply to regulations. Adaptivity can be of huge benefit in highly regulated domains such as healthcare and finance. In these domains, systems have to comply to regulations before they can be used. Understanding the regulations, on the other hand, is an expertise in itself.
This project touches practical and fundamental aspects of explainability and safety of AI. How can we formalize regulations so that domain experts can inspect, understand and validate the result? How can we bridge the gap between experts' and RL agents' representation of the world and actions? How does constraining a RL agent impact its learning capabilities? In this project, we use an adaptive conversational agent for financial advice to investigate these issues.
研究兴趣
论文共 12 篇作者统计合作学者相似作者
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引用量
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期刊级别
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Artificial intelligence in medicine (2024): 102742-102742
CoRR (2024)
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EXPLAINABLE ARTIFICIAL INTELLIGENCE, PT III, XAI 2024 (2024): 350-373
2023 IEEE 34TH INTERNATIONAL SYMPOSIUM ON SOFTWARE RELIABILITY ENGINEERING, ISSREpp.379-390, (2023)
Critical care medicineno. 2 (2023): e79-e88
LOD (2) (2022): 108-122
IJCAI 2022pp.2909-2915, (2022)
arXiv (Cornell University) (2020): 1-14
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作者统计
#Papers: 12
#Citation: 38
H-Index: 4
G-Index: 6
Sociability: 3
Diversity: 0
Activity: 1
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