Cover Image

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

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kiyohara, Haruka, Kishimoto, Ren, Kawakami, Kosuke, Kobayashi, Ken, Nakata, Kazuhide, Saito, Yuta
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation
by: Kiyohara, Haruka, et al.
Published: (2023)

Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits
by: Shimizu, Tatsuhiro, et al.
Published: (2024)

Balancing Immediate Revenue and Future Off-Policy Evaluation in Coupon Allocation
by: Nishimura, Naoki, et al.
Published: (2024)

Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction
by: Kiyohara, Haruka, et al.
Published: (2024)

Prompt Optimization with Logged Bandit Data
by: Kiyohara, Haruka, et al.
Published: (2025)

Off-Policy Evaluation and Learning for Survival Outcomes under Censoring
by: Kubota, Kohsuke, et al.
Published: (2026)

Safely Exploring Novel Actions in Recommender Systems via Deployment-Efficient Policy Learning
by: Kiyohara, Haruka, et al.
Published: (2025)

Off-Policy Evaluation and Learning for the Future under Non-Stationarity
by: Shimizu, Tatsuhiro, et al.
Published: (2025)

Content-Aware Ad Banner Layout Generation with Two-Stage Chain-of-Thought in Vision Language Models
by: Yoshitake, Kei, et al.
Published: (2025)

A General Framework for Off-Policy Learning with Partially-Observed Reward
by: Takehi, Rikiya, et al.
Published: (2025)

Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
by: Nakanishi, Kosuke, et al.
Published: (2025)

Potential Outcome Rankings for Counterfactual Decision Making
by: Kawakami, Yuta, et al.
Published: (2025)

Behaviour Policy Optimization: Provably Lower Variance Return Estimates for Off-Policy Reinforcement Learning
by: Goodall, Alexander W., et al.
Published: (2025)

Clustering Context in Off-Policy Evaluation
by: Guzman-Olivares, Daniel, et al.
Published: (2025)

Concept-driven Off Policy Evaluation
by: Majumdar, Ritam, et al.
Published: (2024)

Off-Policy Learning with Limited Supply
by: Tanaka, Koichi, et al.
Published: (2026)

Towards Off-Policy Reinforcement Learning for Ranking Policies with Human Feedback
by: Xiao, Teng, et al.
Published: (2024)

Learning Action Embeddings for Off-Policy Evaluation
by: Cief, Matej, et al.
Published: (2023)

Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
by: Lee, Haanvid, et al.
Published: (2024)

Modeling Non-Ergodic Path Effects Using Conditional Generative Model for Fourier Amplitude Spectra
by: Lacour, Maxime, et al.
Published: (2025)

A Unifying View of Coverage in Linear Off-Policy Evaluation
by: Amortila, Philip, et al.
Published: (2026)

Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
by: Aouali, Imad, et al.
Published: (2024)

Data Poisoning Attacks on Off-Policy Policy Evaluation Methods
by: Lobo, Elita, et al.
Published: (2024)

Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning
by: Wang, Ruhan, et al.
Published: (2024)

SOPE: Stabilizing Off-Policy Evaluation for Online RL with Prior Data
by: Romeo, Carlo, et al.
Published: (2026)

Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs
by: Zhang, Yuheng, et al.
Published: (2025)

Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
by: Bennett, Andrew, et al.
Published: (2024)

Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation
by: Zhou, Hongyi, et al.
Published: (2025)

Off-OAB: Off-Policy Policy Gradient Method with Optimal Action-Dependent Baseline
by: Meng, Wenjia, et al.
Published: (2024)

Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms
by: Flageat, Manon, et al.
Published: (2023)

Conformal Off-Policy Evaluation in Markov Decision Processes
by: Foffano, Daniele, et al.
Published: (2023)

Q-MMR: Off-Policy Evaluation via Recursive Reweighting and Moment Matching
by: Li, Xiang, et al.
Published: (2026)

Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation
by: Chaudhari, Shreyas, et al.
Published: (2024)

A Lower Bound for the Number of Linear Regions of Ternary ReLU Regression Neural Networks
by: Nakahara, Yuta, et al.
Published: (2025)

Zero-Shot Off-Policy Learning
by: Asadulaev, Arip, et al.
Published: (2026)

Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments
by: Guha, Ritam, et al.
Published: (2025)

Off-Policy Evaluation and Learning for Matching Markets
by: Hayashi, Yudai, et al.
Published: (2025)

Quotient DAGs for Off-Policy Evaluation:Forward-Flow Importance Sampling and Exact Slate Propensities
by: Xie, Ziwen, et al.
Published: (2026)

Moments Matter:Stabilizing Policy Optimization using Return Distributions
by: Jabs, Dennis, et al.
Published: (2026)

Soft Policy Optimization: Online Off-Policy RL for Sequence Models
by: Cohen, Taco, et al.
Published: (2025)