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Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy
  Evaluation
v1v2v3 (latest)

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

International Conference on Learning Representations (ICLR), 2023
30 November 2023
Haruka Kiyohara
Ren Kishimoto
K. Kawakami
Ken Kobayashi
Kazuhide Nakata
Yuta Saito
    OffRL
ArXiv (abs)PDFHTMLGithub (122★)

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

12 / 12 papers shown
Title
Diversification as Risk Minimization
Diversification as Risk Minimization
Rikiya Takehi
Fernando Diaz
Tetsuya Sakai
AAML
77
0
0
26 Oct 2025
Evaluation-Aware Reinforcement Learning
Evaluation-Aware Reinforcement Learning
Shripad Deshmukh
Will Schwarzer
S. Niekum
OffRL
106
0
0
23 Sep 2025
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
380
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
382
0
0
03 Apr 2025
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial
  Bandits
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial BanditsACM Conference on Recommender Systems (RecSys), 2024
Tatsuhiro Shimizu
Koichi Tanaka
Ren Kishimoto
Haruka Kiyohara
Masahiro Nomura
Yuta Saito
CMLOffRL
225
6
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
126
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
199
12
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
223
4
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
229
11
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
453
12
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
OffRLELM
408
5
0
30 Nov 2023
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible
  Off-Policy Evaluation
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation
Yuta Saito
Shunsuke Aihara
Megumi Matsutani
Yusuke Narita
OffRL
575
87
0
17 Aug 2020
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