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Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy
  Evaluation

Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation

30 November 2023
Haruka Kiyohara
Ren Kishimoto
K. Kawakami
Ken Kobayashi
Kazuhide Nakata
Yuta Saito
    OffRL
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Papers citing "Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation"

13 / 13 papers shown
Title
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects
Shu Tamano
Masanori Nojima
OffRL
37
0
0
02 May 2025
Prompt Optimization with Logged Bandit Data
Prompt Optimization with Logged Bandit Data
Haruka Kiyohara
Daniel Yiming Cao
Yuta Saito
Thorsten Joachims
64
0
0
03 Apr 2025
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial
  Bandits
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits
Tatsuhiro Shimizu
Koichi Tanaka
Ren Kishimoto
Haruka Kiyohara
Masahiro Nomura
Yuta Saito
CML
OffRL
44
0
0
20 Aug 2024
Balancing Immediate Revenue and Future Off-Policy Evaluation in Coupon
  Allocation
Balancing Immediate Revenue and Future Off-Policy Evaluation in Coupon Allocation
Naoki Nishimura
Ken Kobayashi
Kazuhide Nakata
OffRL
23
0
0
06 Jul 2024
Long-term Off-Policy Evaluation and Learning
Long-term Off-Policy Evaluation and Learning
Yuta Saito
Himan Abdollahpouri
Jesse Anderton
Ben Carterette
M. Lalmas
OffRL
39
5
0
24 Apr 2024
Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning
  and How to Deal with It
Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It
Yuta Saito
Masahiro Nomura
OffRL
47
2
0
23 Apr 2024
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy
  Decomposition
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition
Yuta Saito
Jihan Yao
Thorsten Joachims
OffRL
26
6
0
09 Feb 2024
Off-Policy Evaluation of Slate Bandit Policies via Optimizing
  Abstraction
Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction
Haruka Kiyohara
Masahiro Nomura
Yuta Saito
25
5
0
03 Feb 2024
SCOPE-RL: A Python Library for Offline Reinforcement Learning and
  Off-Policy Evaluation
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation
Haruka Kiyohara
Ren Kishimoto
K. Kawakami
Ken Kobayashi
Kazuhide Nakata
Yuta Saito
OffRL
ELM
37
4
0
30 Nov 2023
d3rlpy: An Offline Deep Reinforcement Learning Library
d3rlpy: An Offline Deep Reinforcement Learning Library
Takuma Seno
M. Imai
OffRL
GP
60
100
0
06 Nov 2021
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
214
843
0
12 Oct 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
Rongjun Qin
Songyi Gao
Xingyuan Zhang
Zhen Xu
Shengkai Huang
Zewen Li
Weinan Zhang
Yang Yu
OffRL
134
78
0
01 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,960
0
04 May 2020
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