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Paniz Behboudian
Paniz Behboudian
Data Scientist, Granify
在 granify.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Useful policy invariant shaping from arbitrary advice
P Behboudian, Y Satsangi, ME Taylor, A Harutyunyan, M Bowling
arXiv preprint arXiv:2011.01297, 2020
102020
Policy invariant explicit shaping: an efficient alternative to reward shaping
P Behboudian, Y Satsangi, ME Taylor, A Harutyunyan, M Bowling
Neural Computing and Applications, 1-14, 2022
62022
Bandit-Based Policy Invariant Explicit Shaping for Incorporating External Advice in Reinforcement Learning
Y Satsangi, P Behboudian
arXiv preprint arXiv:2304.07163, 2023
2023
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