{"total":90,"rows":[{"id":"2412.13877","title":"RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation","created":"2024-12-18","cited_by_count":175,"area":"offlinerl"},{"id":"2410.18647","title":"Data Scaling Laws in Imitation Learning for Robotic Manipulation","created":"2024-10-24","cited_by_count":145,"area":"offlinerl"},{"id":"2408.15980","title":"In-Context Imitation Learning via Next-Token Prediction","created":"2024-08-28","cited_by_count":70,"area":"offlinerl"},{"id":"2410.04640","title":"Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress","created":"2024-10-06","cited_by_count":69,"area":"offlinerl"},{"id":"2501.06994","title":"Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning","created":"2025-01-13","cited_by_count":59,"area":"offlinerl"},{"id":"2504.18904","title":"RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning","created":"2025-04-26","cited_by_count":54,"area":"offlinerl"},{"id":"2503.08558","title":"Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies","created":"2025-03-11","cited_by_count":52,"area":"offlinerl"},{"id":"2408.14037","title":"Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning","created":"2024-08-26","cited_by_count":47,"area":"offlinerl"},{"id":"2505.09723","title":"EnerVerse-AC: Envisioning Embodied Environments with Action Condition","created":"2025-05-14","cited_by_count":42,"area":"offlinerl"},{"id":"2407.12998","title":"Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks","created":"2024-07-17","cited_by_count":40,"area":"offlinerl"},{"id":"2408.04380","title":"Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations","created":"2024-08-08","cited_by_count":35,"area":"offlinerl"},{"id":"2408.16944","title":"FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning","created":"2024-08-29","cited_by_count":33,"area":"offlinerl"},{"id":"2503.23877","title":"ZeroMimic: Distilling Robotic Manipulation Skills from Web Videos","created":"2025-03-31","cited_by_count":32,"area":"offlinerl"},{"id":"2505.09603","title":"DataMIL: Selecting Data for Robot Imitation Learning with Datamodels","created":"2025-05-14","cited_by_count":28,"area":"offlinerl"},{"id":"2506.19121","title":"CUPID: Curating Data your Robot Loves with Influence Functions","created":"2025-06-23","cited_by_count":23,"area":"offlinerl"},{"id":"2412.10447","title":"TidyBot++: An Open-Source Holonomic Mobile Manipulator for Robot Learning","created":"2024-12-11","cited_by_count":22,"area":"offlinerl"},{"id":"2503.03081","title":"AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost Exoskeletons","created":"2025-03-05","cited_by_count":18,"area":"offlinerl"},{"id":"2511.13035","title":"One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow","created":"2025-11-17","cited_by_count":18,"area":"offlinerl"},{"id":"2602.15010","title":"BPP: Long-Context Robot Imitation Learning by Focusing on Key History Frames","created":"2026-02-16","cited_by_count":18,"area":"offlinerl"},{"id":"2503.04877","title":"Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning","created":"2025-03-06","cited_by_count":17,"area":"offlinerl"},{"id":"2506.05294","title":"A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search","created":"2025-06-05","cited_by_count":17,"area":"offlinerl"},{"id":"2503.01206","title":"Action Tokenizer Matters in In-Context Imitation Learning","created":"2025-03-03","cited_by_count":14,"area":"offlinerl"},{"id":"2503.10966","title":"Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping","created":"2025-03-14","cited_by_count":14,"area":"offlinerl"},{"id":"2506.13498","title":"A Survey on Imitation Learning for Contact-Rich Tasks in Robotics","created":"2025-06-16","cited_by_count":14,"area":"offlinerl"},{"id":"2510.02268","title":"Do You Know Where Your Camera Is? View-Invariant Policy Learning with Camera Conditioning","created":"2025-10-02","cited_by_count":14,"area":"offlinerl"},{"id":"2506.10137","title":"Self-Predictive Representations for Combinatorial Generalization in Behavioral Cloning","created":"2025-06-11","cited_by_count":12,"area":"offlinerl"},{"id":"2410.00064","title":"M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning","created":"2024-09-30","cited_by_count":11,"area":"offlinerl"},{"id":"2507.06224","title":"EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow","created":"2025-07-08","cited_by_count":11,"area":"offlinerl"},{"id":"2502.12330","title":"X-IL: Exploring the Design Space of Imitation Learning Policies","created":"2025-02-17","cited_by_count":10,"area":"offlinerl"},{"id":"2510.20406","title":"PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning","created":"2025-10-23","cited_by_count":10,"area":"offlinerl"},{"id":"2503.11646","title":"Adversarial Data Collection: Human-Collaborative Perturbations for Efficient and Robust Robotic Imitation Learning","created":"2025-03-14","cited_by_count":9,"area":"offlinerl"},{"id":"2505.22626","title":"SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning","created":"2025-05-28","cited_by_count":9,"area":"offlinerl"},{"id":"2512.16911","title":"Posterior Behavioral Cloning: Pretraining BC Policies for Efficient RL Finetuning","created":"2025-12-18","cited_by_count":8,"area":"offlinerl"},{"id":"2408.02912","title":"KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance","created":"2024-08-06","cited_by_count":6,"area":"offlinerl"},{"id":"2411.00610","title":"Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation","created":"2024-11-01","cited_by_count":6,"area":"offlinerl"},{"id":"2412.09149","title":"Student-Informed Teacher Training","created":"2024-12-12","cited_by_count":6,"area":"offlinerl"},{"id":"2604.00557","title":"Multi-Camera View Scaling for Data-Efficient Robot Imitation Learning","created":"2026-04-01","cited_by_count":6,"area":"offlinerl"},{"id":"2409.18330","title":"DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors","created":"2024-09-26","cited_by_count":5,"area":"offlinerl"},{"id":"2509.19658","title":"RoboSSM: Scalable In-context Imitation Learning via State-Space Models","created":"2025-09-24","cited_by_count":5,"area":"offlinerl"},{"id":"2408.11048","title":"RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands","created":"2024-08-20","cited_by_count":4,"area":"offlinerl"},{"id":"2410.08751","title":"Zero-Shot Offline Imitation Learning via Optimal Transport","created":"2024-10-11","cited_by_count":3,"area":"offlinerl"},{"id":"2504.17959","title":"CIVIL: Causal and Intuitive Visual Imitation Learning","created":"2025-04-24","cited_by_count":3,"area":"offlinerl"},{"id":"2505.10760","title":"Counterfactual Behavior Cloning: Offline Imitation Learning from Imperfect Human Demonstrations","created":"2025-05-16","cited_by_count":3,"area":"offlinerl"},{"id":"2508.17449","title":"Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges","created":"2025-08-24","cited_by_count":3,"area":"offlinerl"},{"id":"2604.23000","title":"Learning from the Best: Smoothness-Driven Metrics for Data Quality in Imitation Learning","created":"2026-04-24","cited_by_count":3,"area":"offlinerl"},{"id":"2605.05172","title":"When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning","created":"2026-05-06","cited_by_count":3,"area":"offlinerl"},{"id":"2504.18538","title":"Generalization Capability for Imitation Learning","created":"2025-04-25","cited_by_count":2,"area":"offlinerl"},{"id":"2506.11262","title":"Demonstration Sidetracks: Categorizing Systematic Non-Optimality in Human Demonstrations","created":"2025-06-12","cited_by_count":2,"area":"offlinerl"},{"id":"2506.21057","title":"Knowledge-Driven Imitation Learning: Enabling Generalization Across Diverse Conditions","created":"2025-06-26","cited_by_count":2,"area":"offlinerl"},{"id":"2510.03706","title":"EmbodiSwap for Zero-Shot Robot Imitation Learning","created":"2025-10-04","cited_by_count":2,"area":"offlinerl"},{"id":"2602.11464","title":"EasyMimic: A Low-Cost Framework for Robot Imitation Learning from Human Videos","created":"2026-02-12","cited_by_count":2,"area":"offlinerl"},{"id":"2605.01544","title":"An Efficient Metric for Data Quality Measurement in Imitation Learning","created":"2026-05-02","cited_by_count":2,"area":"offlinerl"},{"id":"2407.16912","title":"Cross-Domain Policy Transfer by Representation Alignment via Multi-Domain Behavioral Cloning","created":"2024-07-24","cited_by_count":1,"area":"offlinerl"},{"id":"2410.07787","title":"Mastering Contact-rich Tasks by Combining Soft and Rigid Robotics with Imitation Learning","created":"2024-10-10","cited_by_count":1,"area":"offlinerl"},{"id":"2503.22524","title":"Robust Offline Imitation Learning Through State-level Trajectory Stitching","created":"2025-03-28","cited_by_count":1,"area":"offlinerl"},{"id":"2505.05701","title":"Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning","created":"2025-05-09","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":"2510.17059","title":"Consistent Zero-Shot Imitation with Contrastive Goal Inference","created":"2025-10-20","cited_by_count":1,"area":"offlinerl"},{"id":"2510.24194","title":"Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames","created":"2025-10-28","cited_by_count":1,"area":"offlinerl"},{"id":"2603.08476","title":"LAR-MoE: Latent-Aligned Routing for Mixture of Experts in Robotic Imitation Learning","created":"2026-03-09","cited_by_count":1,"area":"offlinerl"},{"id":"2603.09056","title":"Quality over Quantity: Demonstration Curation via Influence Functions for Data-Centric Robot Learning","created":"2026-03-10","cited_by_count":1,"area":"offlinerl"},{"id":"2604.15215","title":"A Hierarchical Spatiotemporal Action Tokenizer for In-Context Imitation Learning in Robotics","created":"2026-04-16","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":"2606.08154","title":"SynthICL: Scalable In-context Imitation Learning with Synthetic Data","created":"2026-06-06","cited_by_count":1,"area":"offlinerl"},{"id":"2607.27549","title":"Cross-Embodiment Transfer via Behavior-Aligned Representations","created":"2026-07-30","cited_by_count":1,"area":"offlinerl"},{"id":"2409.18768","title":"Learning from Demonstration with Implicit Nonlinear Dynamics Models","created":"2024-09-27","cited_by_count":0,"area":"offlinerl"},{"id":"2503.02738","title":"Variable-Friction In-Hand Manipulation for Arbitrary Objects via Diffusion-Based Imitation Learning","created":"2025-03-04","cited_by_count":0,"area":"offlinerl"},{"id":"2503.05114","title":"Look Before You Leap: Using Serialized State Machine for Language Conditioned Robotic Manipulation","created":"2025-03-07","cited_by_count":0,"area":"offlinerl"},{"id":"2503.21257","title":"OminiAdapt: Learning Cross-Task Invariance for Robust and Environment-Aware Robotic Manipulation","created":"2025-03-27","cited_by_count":0,"area":"offlinerl"},{"id":"2508.05310","title":"ASkDAgger: Active Skill-level Data Aggregation for Interactive Imitation Learning","created":"2025-08-07","cited_by_count":0,"area":"offlinerl"},{"id":"2509.23220","title":"GLUE: Global-Local Unified Encoding for Imitation Learning via Key-Patch Tracking","created":"2025-09-27","cited_by_count":0,"area":"offlinerl"},{"id":"2510.11307","title":"FOSSIL: Harnessing Feedback on Suboptimal Samples for Data-Efficient Generalisation with Imitation Learning for Embodied Vision-and-Language Tasks","created":"2025-10-13","cited_by_count":0,"area":"offlinerl"},{"id":"2601.04441","title":"Improving and Accelerating Offline RL in Large Discrete Action Spaces with Structured Policy Initialization","created":"2026-01-07","cited_by_count":0,"area":"offlinerl"},{"id":"2602.06512","title":"Beyond the Majority: Long-tail Imitation Learning for Robotic Manipulation","created":"2026-02-06","cited_by_count":0,"area":"offlinerl"},{"id":"2602.06620","title":"Force Generative Imitation Learning: Bridging Position Trajectory and Force Commands through Control Technique","created":"2026-02-06","cited_by_count":0,"area":"offlinerl"},{"id":"2602.18025","title":"Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets","created":"2026-02-20","cited_by_count":0,"area":"offlinerl"},{"id":"2603.03960","title":"Structural Action Transformer for 3D Dexterous Manipulation","created":"2026-03-04","cited_by_count":0,"area":"offlinerl"},{"id":"2606.20871","title":"Geometric Entropy: When Trajectory Diversity Helps and Hurts in Imitation Learning","created":"2026-06-18","cited_by_count":0,"area":"offlinerl"},{"id":"2606.22056","title":"Provably Efficient Policy-Reward Co-Pretraining for Adversarial Imitation Learning","created":"2026-06-20","cited_by_count":0,"area":"offlinerl"},{"id":"2607.09866","title":"Robo-ValueRL: Reliable Value Estimation for Offline-to-Online Reinforcement Learning","created":"2026-07-10","cited_by_count":0,"area":"offlinerl"},{"id":"2607.15880","title":"Dynamics-Aware Meta-Imitation for Generalization to Unseen Robotic Manipulation","created":"2026-07-17","cited_by_count":0,"area":"offlinerl"},{"id":"2608.22591","title":"WorldToken: Time-First Sequence Modeling for Robotic Imitation Learning","created":"2026-08-23","cited_by_count":0,"area":"offlinerl"},{"id":"2609.01453","title":"Does Imitation Learning Preserve Temporal Robustness in Dexterous Manipulation? An Expert-Learner Comparison Across Task Execution Speeds","created":"2026-09-01","cited_by_count":0,"area":"offlinerl"},{"id":"2609.09630","title":"JEPA Policy: Diffusion-Free Imitation Learning via Paired Action and Future Representation Prediction","created":"2026-09-09","cited_by_count":0,"area":"offlinerl"},{"id":"2609.12721","title":"Improving Imitation Learning Efficiency for Manipulation through Geometric Prior Pretraining","created":"2026-09-11","cited_by_count":0,"area":"offlinerl"},{"id":"2609.29000","title":"Learning from Mixed-Quality Deployment Experience for Robot Manipulation","created":"2026-09-24","cited_by_count":0,"area":"offlinerl"},{"id":"2609.31207","title":"Enabling a Unified Cross-Domain Representation for Two-Finger Gripper Manipulation via Interaction-Centric Modeling","created":"2026-09-25","cited_by_count":0,"area":"offlinerl"},{"id":"2609.33145","title":"Beyond State-as-Action: Exploiting Command-State Discrepancy for Robot Imitation Learning","created":"2026-09-27","cited_by_count":0,"area":"offlinerl"},{"id":"2609.35375","title":"From Pixel to Poses: Object-centric Tool Manipulation Learning from Human Demonstrations","created":"2026-09-28","cited_by_count":0,"area":"offlinerl"},{"id":"2610.17748","title":"I3L: Iterative Interactive Imitation Learning for Whole-Body Mobile Manipulation","created":"2026-10-13","cited_by_count":0,"area":"offlinerl"}],"next_cursor":null}