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Artificial intelligence
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Machine Learning and Data Science
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Learning process
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minimaxity
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effective horizon
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entrywise statistical guarantees
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generative model
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minimax optimality
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model-based reinforcement learning
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nonconvex optimization
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Li, Gen
Chen, Yuxin
4
Chi, Yuejie
3
Kallus, Nathan
3
Wei, Yuting
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Cai, Changxiao
2
Gkonkas, Periklēs
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Li, Xudong
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Mazumder, Rahul
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Papadimitriou, Theophilos
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Sermpinis, Georgios
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Shah, Devavrat
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Wager, Stefan
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Zhang, Anru
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Abdullah, Mohammad
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Caicedo Graciano, Carlos Mateo
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Cen, Shicong
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ECONIS (ZBW)
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Breaking the sample size barrier in model-based reinforcement learning with a generative model
Li, Gen
;
Wei, Yuting
;
Chi, Yuejie
;
Chen, Yuxin
- In:
Operations research
72
(
2024
)
1
,
pp. 203-221
Persistent link: https://www.econbiz.de/10014505071
Saved in:
2
Is Q-learning minimax optimal? : a tight sample complexity analysis
Li, Gen
;
Cai, Changxiao
;
Chen, Yuxin
;
Wei, Yuting
;
Chi, …
- In:
Operations research
72
(
2024
)
1
,
pp. 222-236
Persistent link: https://www.econbiz.de/10014505079
Saved in:
3
Nonconvex low-rank tensor completion from noisy data
Cai, Changxiao
;
Li, Gen
;
Poor, H. Vincent
;
Chen, Yuxin
- In:
Operations research
70
(
2022
)
2
,
pp. 1219-1237
Persistent link: https://www.econbiz.de/10013365875
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