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~isPartOf:"Série des documents de travail / Centre de Recherche en Économie et Statistique"
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Mathematics of operations research
Série des documents de travail / Centre de Recherche en Économie et Statistique
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Optimistic posterior sampling for reinforcement learning : worst-case regret bounds
Agrawal, Shipra
;
Jia, Randy
- In:
Mathematics of operations research
48
(
2023
)
1
,
pp. 363-392
Persistent link: https://www.econbiz.de/10014312555
Saved in:
2
Learning zero-sum simultaneous-move Markov games using function approximation and correlated equilibrium
Xie, Qiaomin
;
Chen, Yudong
;
Wang, Zhaoran
;
Yang, Zhuoran
- In:
Mathematics of operations research
48
(
2023
)
1
,
pp. 433-462
Persistent link: https://www.econbiz.de/10014312559
Saved in:
3
Two time-scale stochastic approximation with controlled markov noise and off-policy temporal-difference learning
Karmakar, Prasenjit
;
Bhatnagar, Shalabh
- In:
Mathematics of operations research
43
(
2018
)
1
,
pp. 130-151
Persistent link: https://www.econbiz.de/10011818672
Saved in:
4
Reinforcement learning in robust Markov decision processes
Lim, Shiau Hong
;
Xu, Huan
;
Mannor, Shie
- In:
Mathematics of operations research
41
(
2016
)
4
,
pp. 1325-1353
Persistent link: https://www.econbiz.de/10011595063
Saved in:
5
On boundedness of Q-learning iterates for stochastic shortest path problems
Yu, Huizhen
;
Bertsekas, Dimitri P.
- In:
Mathematics of operations research
38
(
2013
)
2
,
pp. 209-227
Persistent link: https://www.econbiz.de/10009751534
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