{"total":103,"rows":[{"id":"2006.04779","title":"Conservative Q-Learning for Offline Reinforcement Learning","created":"2020-06-08","cited_by_count":1809,"area":"offlinerl"},{"id":"2004.07219","title":"D4RL: Datasets for Deep Data-Driven Reinforcement Learning","created":"2020-04-15","cited_by_count":1427,"area":"offlinerl"},{"id":"2210.00030","title":"VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training","created":"2022-09-30","cited_by_count":395,"area":"offlinerl"},{"id":"2206.11251","title":"Behavior Transformers: Cloning $k$ modes with one stone","created":"2022-06-22","cited_by_count":304,"area":"offlinerl"},{"id":"2303.05479","title":"Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning","created":"2023-03-09","cited_by_count":237,"area":"offlinerl"},{"id":"2203.01387","title":"A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems","created":"2022-03-02","cited_by_count":231,"area":"offlinerl"},{"id":"2005.07648","title":"Language Conditioned Imitation Learning over Unstructured Data","created":"2020-05-15","cited_by_count":209,"area":"offlinerl"},{"id":"2112.10751","title":"RvS: What is Essential for Offline RL via Supervised Learning?","created":"2021-12-20","cited_by_count":185,"area":"offlinerl"},{"id":"2310.07899","title":"RoboCLIP: One Demonstration is Enough to Learn Robot Policies","created":"2023-10-11","cited_by_count":134,"area":"offlinerl"},{"id":"2305.12821","title":"FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation","created":"2023-05-22","cited_by_count":133,"area":"offlinerl"},{"id":"2109.13841","title":"Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation","created":"2021-09-28","cited_by_count":83,"area":"offlinerl"},{"id":"2209.08959","title":"Latent Plans for Task-Agnostic Offline Reinforcement Learning","created":"2022-09-19","cited_by_count":81,"area":"offlinerl"},{"id":"2106.03400","title":"Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning","created":"2021-06-07","cited_by_count":79,"area":"offlinerl"},{"id":"2412.06685","title":"Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone","created":"2024-12-09","cited_by_count":79,"area":"offlinerl"},{"id":"2210.11435","title":"Learning and Retrieval from Prior Data for Skill-based Imitation Learning","created":"2022-10-20","cited_by_count":77,"area":"offlinerl"},{"id":"2307.09955","title":"XSkill: Cross Embodiment Skill Discovery","created":"2023-07-19","cited_by_count":75,"area":"offlinerl"},{"id":"2212.05711","title":"CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning","created":"2022-12-12","cited_by_count":71,"area":"offlinerl"},{"id":"2311.02058","title":"LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery","created":"2023-11-03","cited_by_count":67,"area":"offlinerl"},{"id":"2102.00714","title":"NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning","created":"2021-02-01","cited_by_count":63,"area":"offlinerl"},{"id":"2412.07762","title":"Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data","created":"2024-12-10","cited_by_count":63,"area":"offlinerl"},{"id":"2307.08927","title":"Multi-Stage Cable Routing through Hierarchical Imitation Learning","created":"2023-07-18","cited_by_count":60,"area":"offlinerl"},{"id":"2505.23458","title":"Diffusion Guidance Is a Controllable Policy Improvement Operator","created":"2025-05-29","cited_by_count":58,"area":"offlinerl"},{"id":"2506.04168","title":"Horizon Reduction Makes RL Scalable","created":"2025-06-04","cited_by_count":57,"area":"offlinerl"},{"id":"2402.14606","title":"Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations","created":"2024-02-22","cited_by_count":53,"area":"offlinerl"},{"id":"2205.11790","title":"Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning","created":"2022-05-24","cited_by_count":50,"area":"offlinerl"},{"id":"2402.13181","title":"DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation Models","created":"2024-02-20","cited_by_count":44,"area":"offlinerl"},{"id":"2409.12192","title":"DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control","created":"2024-09-18","cited_by_count":44,"area":"offlinerl"},{"id":"2202.02433","title":"Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching","created":"2022-02-04","cited_by_count":43,"area":"offlinerl"},{"id":"2210.13846","title":"Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning","created":"2022-10-25","cited_by_count":34,"area":"offlinerl"},{"id":"2311.02496","title":"LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion","created":"2023-11-04","cited_by_count":33,"area":"offlinerl"},{"id":"2310.20587","title":"Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning","created":"2023-10-31","cited_by_count":24,"area":"offlinerl"},{"id":"2304.04591","title":"For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal","created":"2023-04-10","cited_by_count":22,"area":"offlinerl"},{"id":"2111.07447","title":"Learning Multi-Stage Tasks with One Demonstration via Self-Replay","created":"2021-11-14","cited_by_count":21,"area":"offlinerl"},{"id":"2206.00695","title":"Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RL","created":"2022-06-01","cited_by_count":21,"area":"offlinerl"},{"id":"2402.10450","title":"PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control","created":"2024-02-16","cited_by_count":21,"area":"offlinerl"},{"id":"2402.13777","title":"Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions","created":"2024-02-21","cited_by_count":20,"area":"offlinerl"},{"id":"2410.22658","title":"Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation","created":"2024-10-30","cited_by_count":19,"area":"offlinerl"},{"id":"2304.13774","title":"Distance Weighted Supervised Learning for Offline Interaction Data","created":"2023-04-26","cited_by_count":18,"area":"offlinerl"},{"id":"2102.10283","title":"Imitation Learning for Variable Speed Contact Motion for Operation up to Control Bandwidth","created":"2021-02-20","cited_by_count":16,"area":"offlinerl"},{"id":"2209.10447","title":"Hierarchical Decision Transformer","created":"2022-09-21","cited_by_count":16,"area":"offlinerl"},{"id":"2211.11603","title":"Model-based Trajectory Stitching for Improved Offline Reinforcement Learning","created":"2022-11-21","cited_by_count":15,"area":"offlinerl"},{"id":"2305.12633","title":"Multi-task Hierarchical Adversarial Inverse Reinforcement Learning","created":"2023-05-22","cited_by_count":15,"area":"offlinerl"},{"id":"2312.07685","title":"A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning","created":"2023-12-12","cited_by_count":15,"area":"offlinerl"},{"id":"2203.08619","title":"An Independently Learnable Hierarchical Model for Bilateral Control-Based Imitation Learning Applications","created":"2022-03-16","cited_by_count":14,"area":"offlinerl"},{"id":"2310.06171","title":"Memory-Consistent Neural Networks for Imitation Learning","created":"2023-10-09","cited_by_count":14,"area":"offlinerl"},{"id":"2401.03306","title":"MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning","created":"2024-01-06","cited_by_count":14,"area":"offlinerl"},{"id":"2402.03807","title":"SEABO: A Simple Search-Based Method for Offline Imitation Learning","created":"2024-02-06","cited_by_count":14,"area":"offlinerl"},{"id":"2212.01105","title":"Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery","created":"2022-12-02","cited_by_count":12,"area":"offlinerl"},{"id":"2303.11191","title":"A Survey of Demonstration Learning","created":"2023-03-20","cited_by_count":12,"area":"offlinerl"},{"id":"2405.17476","title":"How to Leverage Diverse Demonstrations in Offline Imitation Learning","created":"2024-05-24","cited_by_count":12,"area":"offlinerl"},{"id":"2408.08441","title":"D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning","created":"2024-08-15","cited_by_count":12,"area":"offlinerl"},{"id":"2412.04368","title":"Finer Behavioral Foundation Models via Auto-Regressive Features and Advantage Weighting","created":"2024-12-05","cited_by_count":12,"area":"offlinerl"},{"id":"2506.07744","title":"Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning","created":"2025-06-09","cited_by_count":12,"area":"offlinerl"},{"id":"2011.06192","title":"Motion Generation Using Bilateral Control-Based Imitation Learning with Autoregressive Learning","created":"2020-11-12","cited_by_count":11,"area":"offlinerl"},{"id":"2408.14785","title":"Unsupervised-to-Online Reinforcement Learning","created":"2024-08-27","cited_by_count":11,"area":"offlinerl"},{"id":"2206.04632","title":"Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations","created":"2022-06-09","cited_by_count":10,"area":"offlinerl"},{"id":"2301.00051","title":"Learning from Guided Play: Improving Exploration for Adversarial Imitation Learning with Simple Auxiliary Tasks","created":"2022-12-30","cited_by_count":10,"area":"offlinerl"},{"id":"2302.13493","title":"The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning","created":"2023-02-27","cited_by_count":10,"area":"offlinerl"},{"id":"2410.12124","title":"Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames","created":"2024-10-15","cited_by_count":10,"area":"offlinerl"},{"id":"2201.11981","title":"Transfering Hierarchical Structure with Dual Meta Imitation Learning","created":"2022-01-28","cited_by_count":7,"area":"offlinerl"},{"id":"2310.08558","title":"Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias","created":"2023-10-12","cited_by_count":7,"area":"offlinerl"},{"id":"2402.02017","title":"Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning","created":"2024-02-03","cited_by_count":7,"area":"offlinerl"},{"id":"2312.10802","title":"GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation","created":"2023-12-17","cited_by_count":6,"area":"offlinerl"},{"id":"2405.17477","title":"OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning","created":"2024-05-24","cited_by_count":6,"area":"offlinerl"},{"id":"2505.13144","title":"Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning","created":"2025-05-19","cited_by_count":6,"area":"offlinerl"},{"id":"2011.09586","title":"SAFARI: Safe and Active Robot Imitation Learning with Imagination","created":"2020-11-18","cited_by_count":5,"area":"offlinerl"},{"id":"2412.16848","title":"ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning","created":"2024-12-22","cited_by_count":5,"area":"offlinerl"},{"id":"2503.14259","title":"Quantization-Free Autoregressive Action Transformer","created":"2025-03-18","cited_by_count":5,"area":"offlinerl"},{"id":"2505.10442","title":"IN-RIL: Interleaved Reinforcement and Imitation Learning for Policy Fine-Tuning","created":"2025-05-15","cited_by_count":5,"area":"offlinerl"},{"id":"2602.03389","title":"Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL","created":"2026-02-03","cited_by_count":5,"area":"offlinerl"},{"id":"2110.02304","title":"You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL","created":"2021-10-05","cited_by_count":4,"area":"offlinerl"},{"id":"2207.13082","title":"Offline Reinforcement Learning at Multiple Frequencies","created":"2022-07-26","cited_by_count":4,"area":"offlinerl"},{"id":"2410.07933","title":"Offline Hierarchical Reinforcement Learning via Inverse Optimization","created":"2024-10-10","cited_by_count":4,"area":"offlinerl"},{"id":"2410.21616","title":"Identifying Selections for Unsupervised Subtask Discovery","created":"2024-10-28","cited_by_count":4,"area":"offlinerl"},{"id":"2502.21186","title":"Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction","created":"2025-02-28","cited_by_count":4,"area":"offlinerl"},{"id":"2112.08932","title":"Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning","created":"2021-12-16","cited_by_count":3,"area":"offlinerl"},{"id":"2210.12272","title":"Implicit Offline Reinforcement Learning via Supervised Learning","created":"2022-10-21","cited_by_count":3,"area":"offlinerl"},{"id":"2402.17511","title":"Rethinking Mutual Information for Language Conditioned Skill Discovery on Imitation Learning","created":"2024-02-27","cited_by_count":3,"area":"offlinerl"},{"id":"2008.01913","title":"Generalization Guarantees for Imitation Learning","created":"2020-08-05","cited_by_count":2,"area":"offlinerl"},{"id":"2411.07760","title":"Navigation with QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning","created":"2024-11-12","cited_by_count":2,"area":"offlinerl"},{"id":"2412.14865","title":"Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning","created":"2024-12-19","cited_by_count":2,"area":"offlinerl"},{"id":"2506.02883","title":"A Continual Offline Reinforcement Learning Benchmark for Navigation Tasks","created":"2025-06-03","cited_by_count":2,"area":"offlinerl"},{"id":"2007.07443","title":"Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions","created":"2020-07-15","cited_by_count":1,"area":"offlinerl"},{"id":"2205.07716","title":"Generalizing to New Tasks via One-Shot Compositional Subgoals","created":"2022-05-16","cited_by_count":1,"area":"offlinerl"},{"id":"2209.15626","title":"B2RL: An open-source Dataset for Building Batch Reinforcement Learning","created":"2022-09-30","cited_by_count":1,"area":"offlinerl"},{"id":"2304.09825","title":"Using Offline Data to Speed Up Reinforcement Learning in Procedurally Generated Environments","created":"2023-04-18","cited_by_count":1,"area":"offlinerl"},{"id":"2306.13630","title":"Offline Skill Graph (OSG): A Framework for Learning and Planning using Offline Reinforcement Learning Skills","created":"2023-06-23","cited_by_count":1,"area":"offlinerl"},{"id":"2311.14885","title":"Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning","created":"2023-11-25","cited_by_count":1,"area":"offlinerl"},{"id":"2412.06207","title":"Skill-Enhanced Reinforcement Learning Acceleration from Heterogeneous Demonstrations","created":"2024-12-09","cited_by_count":1,"area":"offlinerl"},{"id":"2509.05368","title":"Long-Horizon Visual Imitation Learning via Plan and Code Reflection","created":"2025-09-04","cited_by_count":1,"area":"offlinerl"},{"id":"2512.05953","title":"Correspondence-Oriented Imitation Learning: Flexible Visuomotor Control with 3D Conditioning","created":"2025-12-05","cited_by_count":1,"area":"offlinerl"},{"id":"2602.01018","title":"Offline Discovery of Interpretable Skills from Multi-Task Trajectories","created":"2026-02-01","cited_by_count":1,"area":"offlinerl"},{"id":"2605.22493","title":"Understanding Multimodal Failure in Action-Chunking Behavioral Cloning","created":"2026-05-21","cited_by_count":1,"area":"offlinerl"},{"id":"2609.02237","title":"Recursive Value Learning for Long-Horizon Offline Goal-Conditioned RL","created":"2026-09-02","cited_by_count":1,"area":"offlinerl"},{"id":"2103.04004","title":"Bilateral Control-Based Imitation Learning for Velocity-Controlled Robot","created":"2021-03-06","cited_by_count":0,"area":"offlinerl"},{"id":"2209.04100","title":"Task-Agnostic Learning to Accomplish New Tasks","created":"2022-09-09","cited_by_count":0,"area":"offlinerl"},{"id":"2408.05285","title":"Semi-Supervised One-Shot Imitation Learning","created":"2024-08-09","cited_by_count":0,"area":"offlinerl"},{"id":"2507.15356","title":"RAD: Retrieval High-quality Demonstrations to Enhance Decision-making","created":"2025-07-21","cited_by_count":0,"area":"offlinerl"},{"id":"2509.03206","title":"Autonomous Learning From Success and Failure: Goal-Conditioned Supervised Learning with Negative Feedback","created":"2025-09-03","cited_by_count":0,"area":"offlinerl"},{"id":"2511.03828","title":"From Static Constraints to Dynamic Adaptation: Sample-Level Constraint Relaxation for Offline-to-Online Reinforcement Learning","created":"2025-11-05","cited_by_count":0,"area":"offlinerl"}],"next_cursor":"100"}