{"total":56,"rows":[{"id":"2410.24185","title":"DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning","created":"2024-10-31","cited_by_count":116,"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":"2410.18907","title":"SkillMimicGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment","created":"2024-10-24","cited_by_count":52,"area":"offlinerl"},{"id":"2409.14674","title":"RACER: Rich Language-Guided Failure Recovery Policies for Imitation Learning","created":"2024-09-23","cited_by_count":49,"area":"offlinerl"},{"id":"2411.12633","title":"Instant Policy: In-Context Imitation Learning via Graph Diffusion","created":"2024-11-19","cited_by_count":39,"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":"2402.14795","title":"CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation","created":"2024-02-22","cited_by_count":28,"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":"2405.01472","title":"IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning","created":"2024-05-02","cited_by_count":25,"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":"2504.03515","title":"Dexterous Manipulation through Imitation Learning: A Survey","created":"2025-04-04","cited_by_count":21,"area":"offlinerl"},{"id":"2506.13536","title":"What Matters in Learning from Large-Scale Datasets for Robot Manipulation","created":"2025-06-16","cited_by_count":20,"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":"2506.11948","title":"SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies","created":"2025-06-13","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":"2505.08078","title":"What Matters for Batch Online Reinforcement Learning in Robotics?","created":"2025-05-12","cited_by_count":15,"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":"2506.13762","title":"Touch begins where vision ends: Generalizable policies for contact-rich manipulation","created":"2025-06-16","cited_by_count":14,"area":"offlinerl"},{"id":"2411.16959","title":"RoCoDA: Counterfactual Data Augmentation for Data-Efficient Robot Learning from Demonstrations","created":"2024-11-25","cited_by_count":13,"area":"offlinerl"},{"id":"2410.19693","title":"MILES: Making Imitation Learning Easy with Self-Supervision","created":"2024-10-25","cited_by_count":10,"area":"offlinerl"},{"id":"2509.01657","title":"Data Retrieval with Importance Weights for Few-Shot Imitation Learning","created":"2025-09-01","cited_by_count":10,"area":"offlinerl"},{"id":"2510.07730","title":"DEAS: DEtached value learning with Action Sequence for Scalable Offline RL","created":"2025-10-09","cited_by_count":10,"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":"2510.18316","title":"MoMaGen: Generating Demonstrations under Soft and Hard Constraints for Multi-Step Bimanual Mobile Manipulation","created":"2025-10-21","cited_by_count":7,"area":"offlinerl"},{"id":"2505.04860","title":"D-CODA: Diffusion for Coordinated Dual-Arm Data Augmentation","created":"2025-05-08","cited_by_count":5,"area":"offlinerl"},{"id":"2510.19495","title":"Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning","created":"2025-10-22","cited_by_count":5,"area":"offlinerl"},{"id":"2411.04919","title":"Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion","created":"2024-11-07","cited_by_count":4,"area":"offlinerl"},{"id":"2512.16861","title":"ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning","created":"2025-12-18","cited_by_count":4,"area":"offlinerl"},{"id":"2605.27724","title":"HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning","created":"2026-05-26","cited_by_count":4,"area":"offlinerl"},{"id":"2503.13171","title":"HybridGen: VLM-Guided Hybrid Planning for Scalable Data Generation of Imitation Learning","created":"2025-03-17","cited_by_count":3,"area":"offlinerl"},{"id":"2509.19454","title":"ROPA: Synthetic Robot Pose Generation for RGB-D Bimanual Data Augmentation","created":"2025-09-23","cited_by_count":3,"area":"offlinerl"},{"id":"2511.09302","title":"UMIGen: A Unified Framework for Egocentric Point Cloud Generation and Cross-Embodiment Robotic Imitation Learning","created":"2025-11-12","cited_by_count":3,"area":"offlinerl"},{"id":"2509.09893","title":"Self-Augmented Robot Trajectory: Efficient Imitation Learning via Safe Self-augmentation with Demonstrator-annotated Precision","created":"2025-09-11","cited_by_count":2,"area":"offlinerl"},{"id":"2604.10579","title":"AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence","created":"2026-04-12","cited_by_count":2,"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":"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":"2605.20648","title":"Jointly Learning Predicates and Actions Enables Zero-Shot Skill Composition","created":"2026-05-20","cited_by_count":1,"area":"offlinerl"},{"id":"2606.09758","title":"Difference-Aware Retrieval Policies for Imitation Learning","created":"2026-06-08","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":"2407.21244","title":"VITAL: Interactive Few-Shot Imitation Learning via Visual Human-in-the-Loop Corrections","created":"2024-07-30","cited_by_count":0,"area":"offlinerl"},{"id":"2504.13803","title":"Imitation Learning with Precisely Labeled Human Demonstrations","created":"2025-04-18","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":"2510.00726","title":"CroSTAta: Cross-State Transition Attention Transformer for Robotic Manipulation","created":"2025-10-01","cited_by_count":0,"area":"offlinerl"},{"id":"2512.04960","title":"Hybrid Imitation Learning: Teleoperation Augmentation Primitives that Policies Learn to Trigger","created":"2025-12-04","cited_by_count":0,"area":"offlinerl"},{"id":"2603.12769","title":"Easy-IIL: Reducing Human Operational Burden in Interactive Imitation Learning via Assistant Experts","created":"2026-03-13","cited_by_count":0,"area":"offlinerl"},{"id":"2604.03759","title":"Build on Priors: Vision--Language--Guided Neuro-Symbolic Imitation Learning for Data-Efficient Real-World Robot Manipulation","created":"2026-04-04","cited_by_count":0,"area":"offlinerl"},{"id":"2605.19138","title":"COBALT: Crowdsourcing Robot Learning via Cloud-Based Teleoperation with Smartphones","created":"2026-05-18","cited_by_count":0,"area":"offlinerl"},{"id":"2606.02194","title":"Coherent Off-Policy Improvement of Large Behavior Models with Learned Rewards","created":"2026-06-01","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":"2606.23371","title":"TSD: A Physics-Inspired Trajectory Saliency Detector for Efficient Imitation Learning","created":"2026-06-22","cited_by_count":0,"area":"offlinerl"},{"id":"2606.24078","title":"MinInter: Minimizing Trajectory Interpolation During Data Augmentation for Imitation Learning","created":"2026-06-23","cited_by_count":0,"area":"offlinerl"},{"id":"2607.25731","title":"Tri-Manual Visuomotor Imitation Learning of Robot Policies","created":"2026-07-28","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":"2609.15716","title":"Continuous Manifold-Decomposed Impedance Retargeting for Contact-Rich Imitation Learning","created":"2026-09-14","cited_by_count":0,"area":"offlinerl"},{"id":"2610.01626","title":"Measuring the Stability Assumption Behind Action Chunking","created":"2026-10-01","cited_by_count":0,"area":"offlinerl"}],"next_cursor":null}