Offline Safe Reinforcement Learning

Ask about this topic

Recent momentum

-67%

5 papers in the last 28 days · 0.1% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Also in Off-Policy Reinforcement Learning

Neighbouring directions

Off-Policy Reinforcement LearningOn-Policy

Weekly history

Recent digests

What was published in this topic, kept on the site without email delivery.

Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Offline Safe Reinforcement Learning.

Period ending 2026-09-07

3 new papers

A weekly snapshot of new work published in Offline Safe Reinforcement Learning.

100 papers

Latest in Offline Safe Reinforcement Learning

Open your feed →
CardsList

  1. Learning Multimodal One-step Flow Policy via Value-weighted Optimal Transport

    Sep 14, 2026Jaehun Shon, Jinha Choi, Jongwook Jeon +1Offline Safe Reinforcement LearningMultimodal Action Distributions

  2. Certified Safety Curation: Distribution-Free Guarantees for Safe Offline Reinforcement Learning

    Sep 14, 2026Adam Haroon, Cody FlemingOffline Safe Reinforcement LearningSafety Constraints

  3. Routing Dense Layouts with History-Aware Offline Reinforcement Learning using LSTM

    Sep 8, 2026Afsara Khan, Austin RovinskiDynamic RoutingOffline Safe Reinforcement Learning

  4. Multi-step Proximal Policy Improvement in Offline Reinforcement Learning

    Sep 3, 2026Soohyun Choi, Seonvin Cho, Songnam HongProximal Policy OptimizationOffline Safe Reinforcement Learning

  5. Out-of-Distribution Generalisation with Sequence Models in Offline Multi-Agent Reinforcement Learning

    Sep 3, 2026Oussama Hidaoui, Omer Ebead, Ulrich Armel Mbou Sob +14Multi-Agent Reinforcement LearningOffline Safe Reinforcement Learning

  6. Provably Efficient Federated Reinforcement Learning with Linear Function Approximation and Logarithmic Communication Cost

    Aug 31, 2026Zihang Liang, Haochen Zhang, Lingzhou XueMulti-Agent Reinforcement LearningOffline Safe Reinforcement Learning

  7. Confounding Masquerading as Improvement: A Systematic Evaluation of Offline Reinforcement Learning for Stroke Antithrombotic Treatment in a 129,000-Patient Registry

    Aug 31, 2026Kihun RheeOffline Safe Reinforcement LearningStroke

  8. Redistribution-based Cost Inference Improves Sparse Safe Offline RL

    Aug 12, 2026Ebenezer Gelo, Geraud Nangue Tasse, Steven James +1Offline Safe Reinforcement LearningTrajectory-Level Credit Assignment

  9. Unmasking Toxic Mimicry in Medical Offline Reinforcement Learning for ICU Sepsis Management via Counterfactual Clinical Audits

    Aug 11, 2026Hangqi Ren, Junyi LiaoMimic-Iv DatasetsSepsis

  10. Dynamics Models for Offline Hyperparameter Selection in Real-World RL

    Aug 11, 2026Jordan Coblin, Han Wang, Martha White +1Offline Safe Reinforcement LearningHyperparameter

  11. Critic-Free Pretraining for Efficient Online Reinforcement Learning Fine-Tuning

    Aug 11, 2026Daoyi Li, Yixian Zhang, Wenbo Ding +2Offline Safe Reinforcement LearningSoft Actor-Critic

  12. CODS: Iterative Bellman-Residual Data Selection for Reusable Offline Reinforcement Learning

    Aug 7, 2026Ibne Farabi Shihab, Sanjeda Akter, Abu Sa-Adat Mohamed Moon-Im Al Ahsan +2Offline Safe Reinforcement LearningLong-Horizon Credit Assignment

  13. Convex-Hull-Neighborhood Smooth Dual Generalization: Controlling Local Correction Propagation in Offline RL

    Aug 4, 2026Yi Yang, Zhennan Chen, Mingfeng Lv +3Offline Safe Reinforcement LearningKullback-Leibler Regularization

  14. Diffusion Policy with Behavioral Advantage Correction for Offline Reinforcement Learning

    Aug 3, 2026Botao Dong, Longyang Huang, Ning Pang +1Offline Safe Reinforcement LearningDiffusion Policies

  15. ReBRAC-v2: The Return of the King

    Aug 2, 2026Denis Tarasov, Robert K. KatzschmannOffline Safe Reinforcement LearningNormalizing Flows

  16. RedFlow: Redirect Failure into Action-Level Corrections for Flow-matching VLA Policy

    Jul 30, 2026Zhengyang Yan, Junhao Li, Fangqi Zhu +6Vision-Language-Action PoliciesOffline Safe Reinforcement Learning

  17. Learning from the Unseen: Offline Reinforcement Learning with Hidden Actions

    Jul 28, 2026Zeyu Bian, Ying Zhou, Yifan CuiOffline Safe Reinforcement LearningEfficient Influence Function

  18. A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics

    Jul 28, 2026Zheshun Wu, Renjie Zheng, Jinhang Zuo +2Offline Safe Reinforcement LearningMarkov Decision Processes

  19. Expert Behavior Prior Reinforcement Learning

    Jul 23, 2026Gong Gao, Weidong Zhao, Xianhui Liu +1Offline Safe Reinforcement LearningSafe Reinforcement Learning

  20. TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning

    Jul 23, 2026Chaofan Pan, Lingfei Ren, Xiangyu Jiang +6Offline Safe Reinforcement LearningTrajectory-Level Credit Assignment

  21. Offline RL with Hierarchical Action Chunking

    Jul 23, 2026Ahad JawaidOffline Safe Reinforcement LearningGoal-Conditioned Reinforcement Learning

  22. Conservative Query and Adaptive Regularization for Offline RL Under Uncertainty Estimation

    Jul 21, 2026Li-Rong Zhou, Qin-Wen Luo, Sheng-Jun HuangOffline Safe Reinforcement LearningConservatism

  23. Evaluating covariate balance for long time horizon Markov decision processes

    Jul 16, 2026Joshua Spear, Rebecca Pope, Neil J SebireCovariate ShiftOffline Safe Reinforcement Learning

  24. OOD-RL-Bench: A Benchmark Framework for Out-of-Distribution Detection in Reinforcement Learning

    Jul 14, 2026Emil Mittag, Richard Dazeley, Peter VamplewOut-Of-DistributionOffline Safe Reinforcement Learning

  25. Active Offline-to-Online Reinforcement Learning

    Jul 13, 2026Alper Kamil Bozkurt, Shangtong Zhang, Yuichi MotaiOffline Safe Reinforcement LearningLimited Data

  26. Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning

    Jul 10, 2026Wenke Xia, Pei Ren, Wenbo Yu +10Offline Safe Reinforcement LearningValue Functions

  27. Shortcut Trajectory Planning for Efficient Offline Reinforcement Learning

    Jul 10, 2026Guanquan Wang, Yoshimasa TsuruokaDiffusion PlanningOffline Safe Reinforcement Learning

  28. CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement Learning

    Jul 4, 2026Jiayi Guan, Tianle Zhang, Li Shen +8Offline Safe Reinforcement LearningOptimal Policies

  29. Generalization in offline RL: The structure is more important than the amount of pessimism

    Jul 2, 2026Max Weltevrede, Matthijs T. J. Spaan, Wendelin BöhmerOffline Safe Reinforcement LearningPessimism

  30. AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL

    Jun 30, 2026Woosung Kim, Youngjun Suh, Jinho Lee +2Multi-Objective Reinforcement LearningOffline Safe Reinforcement Learning

  31. Offline Reinforcement Learning for Fluid Controls: Data-based Multi-observational Policy Extraction

    Jun 30, 2026Deepak Akhare, Luning Sun, Xin-Yang Liu +4Offline Safe Reinforcement LearningSafe Reinforcement Learning

  32. Exploration and Online Transfer with Behavioral Foundation Models

    Jun 29, 2026Louis Bagot, Mathieu Lefort, Laëtitia MatignonOffline Safe Reinforcement LearningBehavioral Foundation Models

  33. RS-Diffuser: Risk-Sensitive Diffusion Planning with Distributional Value Guidance

    Jun 26, 2026Shiqiang GongOffline Safe Reinforcement LearningConditional-Value-At-Risk

  34. Beyond One-Size-Fits-All: Diagnosis-Driven Online Reinforcement Learning with Offline Priors

    Jun 24, 2026Guozheng Ma, Lu Li, Zilin Wang +2Offline Safe Reinforcement LearningPriors

  35. Offline Multi-agent Continual Cooperation via Skill Partition and Reuse

    Jun 24, 2026Yuchen Xiao, Lei Yuan, Ruiqi Xue +2Unsupervised Skill DiscoveryMulti-Agent Reinforcement Learning

  36. Offline Reinforcement Learning for Warehouse SLAM Throughput Control

    Jun 22, 2026Tina Dongxu Li, Mouhacine Benosman, Rajat Kumar +3Offline Safe Reinforcement LearningKoopman Operator

  37. Sim2O: Efficient Offline-to-Online MARL via Joint Action Composition

    Jun 19, 2026Bingchang Song, Yiqin YangMulti-Agent Reinforcement LearningOffline Safe Reinforcement Learning

  38. OnDeFog: Online Decision Transformer under Frame Dropping

    Jun 18, 2026Daiki Yotsufuji, Kenta Nishihara, Shoma Shimizu +2Offline Safe Reinforcement LearningLearning-Augmented Algorithms

  39. Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning

    Jun 17, 2026Thomas Frost, Steve HarrisIntensive Care UnitOffline Safe Reinforcement Learning

  40. When Does Trajectory-Level Supervision Permit Efficient Offline Reinforcement Learning?

    Jun 16, 2026Xuanfei Ren, Tengyang XieOffline Safe Reinforcement LearningSoft Actor-Critic

  41. Reversal Q-Learning

    Jun 16, 2026Aditya Oberai, Seohong Park, Sergey LevineOffline Safe Reinforcement LearningOff-Policy Reinforcement Learning

  42. Individual Control Barrier Functions-Guided Diffusion Model for Safe Offline Multi-Agent Reinforcement Learning

    Jun 10, 2026Qingyun Guo, Junyi Shi, Jianuo Huang +1Multi-Agent Reinforcement LearningOffline Safe Reinforcement Learning

  43. Safe-RULE: Safe Reinforcement UnLEarning

    Jun 8, 2026Shixiong Jiang, Taozheng Zhu, Fanxin KongOffline Safe Reinforcement LearningSafe Reinforcement Learning

  44. Counterfactual Transport Flows for Offline Conservative Trajectory Refinement

    Jun 8, 2026Lena Krieger, Xuan Zhao, Zhuo Cao +3Offline Safe Reinforcement LearningCounterfactual Utility

  45. Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces

    Jun 3, 2026Nicolás Astorga, Nabeel Seedat, Mihaela van der SchaarHistorical Optimization ExperiencesVerifiable Rewards

  46. Offline-to-Online Learning in Linear Bandits

    Jun 3, 2026Kushagra Chandak, Toshinori Kitamura, Xiaoqi TanSublinear RegretOffline Safe Reinforcement Learning

  47. From Reward-Free Representations to Preferences: Rethinking Offline Preference-Based Reinforcement Learning

    May 31, 2026Jun-Jie Yang, Chia-Heng Hsu, Kui-Yuan Chen +1Offline Safe Reinforcement LearningOnline

  48. Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning

    May 30, 2026Fuyuan Qian, Menglong Zhang, Song Wang +1Offline Safe Reinforcement LearningRepresentation Learning

  49. A Lecture Note on Offline RL and IRL, Part II: Foundations of Inverse Reinforcement Learning and Dynamic Discrete Choice Models

    May 29, 2026Enoch Hyunwook KangOffline Safe Reinforcement LearningSafe Reinforcement Learning

  50. Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning

    May 29, 2026Ha Manh Bui, Metod Jazbec, Eric Nalisnick +1Offline Safe Reinforcement LearningDiffusion Policies

  51. UNIQ: Conformal Calibration for Adaptive Conservatism in Offline Reinforcement Learning

    May 28, 2026Aditya UpadhyayOffline Safe Reinforcement LearningUncertainty Quantification

  52. Mean-Field Diffuser: Scaling Offline MARL to Thousands of Agents

    May 28, 2026Wenhao Li, Xiangfeng Wang, Bo JinMulti-Agent Reinforcement LearningDiffusion Policies

  53. Information-Directed Offline-to-Online Reinforcement Learning

    May 28, 2026Keru ChenOffline Safe Reinforcement LearningDynamic Regret Bounds

  54. Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets

    May 24, 2026Zhongjian Qiao, Jiafei Lyu, Chenjia Bai +3Offline Safe Reinforcement LearningValue Alignment

  55. Target-Aligned Bellman Backup for Cross-domain Offline Reinforcement Learning

    May 21, 2026Wei Liu, Ting LongOffline Safe Reinforcement LearningBellman Equation

  56. Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark

    May 19, 2026Yang Fu, Haomin Bao, Rohit Sonker +4Plasma Shape ControlOffline Safe Reinforcement Learning

  57. Precision Physical Activity Prescription via Reinforcement Learning for Functional Actions

    May 19, 2026Gefei Lin, Rui Miao, Jennifer Sacheck +1Physical ActivitiesCardiometabolic Risk

  58. COOPO: Cyclic Offline-Online Policy Optimization Algorithm

    May 18, 2026Qisai Liu, Zhanhong Jiang, Joshua Russell Waite +3Offline Safe Reinforcement LearningPolicy Optimization

  59. ISEP: Implicit Support Expansion for Offline Reinforcement Learning via Stochastic Policy Optimization

    May 18, 2026Yifei Chen, Shaoqin Zhu, Xiaoqiang JiOffline Safe Reinforcement Learning

  60. Offline Reinforcement Learning with Universal Horizon Models

    May 15, 2026Hojun Chung, Junseo Lee, Songhwai OhOffline Safe Reinforcement LearningLong-Horizon