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Distributionally Robust Batch Contextual Bandits

Distributionally Robust Batch Contextual Bandits

10 June 2020
Nian Si
Fan Zhang
Zhengyuan Zhou
Jose H. Blanchet
    OffRL
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Papers citing "Distributionally Robust Batch Contextual Bandits"

6 / 6 papers shown
Title
Towards Domain Adaptive Neural Contextual Bandits
Towards Domain Adaptive Neural Contextual Bandits
Ziyan Wang
Hao Wang
Hao Wang
50
0
0
13 Jun 2024
Contextual Linear Optimization with Bandit Feedback
Contextual Linear Optimization with Bandit Feedback
Yichun Hu
Nathan Kallus
Xiaojie Mao
Yanchen Wu
35
0
0
26 May 2024
Distributionally Robust Reinforcement Learning with Interactive Data
  Collection: Fundamental Hardness and Near-Optimal Algorithm
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm
Miao Lu
Han Zhong
Tong Zhang
Jose H. Blanchet
OffRL
OOD
73
4
0
04 Apr 2024
Double Pessimism is Provably Efficient for Distributionally Robust
  Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
Jose H. Blanchet
Miao Lu
Tong Zhang
Han Zhong
OffRL
42
29
0
16 May 2023
Policy Learning under Biased Sample Selection
Policy Learning under Biased Sample Selection
Lihua Lei
Roshni Sahoo
Stefan Wager
30
13
0
23 Apr 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
Kaiwen Wang
Nathan Kallus
Wen Sun
101
18
0
07 Feb 2023
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