{"total":52,"rows":[{"id":"2403.03954","title":"3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations","created":"2024-03-06","cited_by_count":116,"area":"diffusion"},{"id":"2212.05698","title":"MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations","created":"2022-12-12","cited_by_count":62,"area":null},{"id":"2407.20179","title":"Theia: Distilling Diverse Vision Foundation Models for Robot Learning","created":"2024-07-29","cited_by_count":61,"area":null},{"id":"2312.14134","title":"Diffusion Reward: Learning Rewards via Conditional Video Diffusion","created":"2023-12-21","cited_by_count":57,"area":"diffusion"},{"id":"2406.01586","title":"ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation","created":"2024-06-03","cited_by_count":57,"area":"diffusion"},{"id":"2212.05749","title":"On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline","created":"2022-12-12","cited_by_count":56,"area":null},{"id":"2411.18623","title":"Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation","created":"2024-11-27","cited_by_count":46,"area":null},{"id":"2310.16029","title":"Finetuning Offline World Models in the Real World","created":"2023-10-24","cited_by_count":41,"area":"wm"},{"id":"2307.01849","title":"Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning","created":"2023-07-04","cited_by_count":40,"area":"diffusion"},{"id":"2404.19664","title":"Towards Generalist Robot Learning from Internet Video: A Survey","created":"2024-04-30","cited_by_count":40,"area":null},{"id":"2204.02393","title":"Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining","created":"2022-04-05","cited_by_count":37,"area":null},{"id":"2307.03719","title":"Polybot: Training One Policy Across Robots While Embracing Variability","created":"2023-07-07","cited_by_count":28,"area":null},{"id":"2307.10224","title":"RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization","created":"2023-07-15","cited_by_count":28,"area":null},{"id":"2310.07418","title":"Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages","created":"2023-10-11","cited_by_count":28,"area":null},{"id":"2210.04561","title":"A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning","created":"2022-10-10","cited_by_count":25,"area":null},{"id":"2206.05266","title":"Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?","created":"2022-06-10","cited_by_count":24,"area":null},{"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":"2405.10020","title":"Natural Language Can Help Bridge the Sim2Real Gap","created":"2024-05-16","cited_by_count":21,"area":null},{"id":"2306.02865","title":"Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic","created":"2023-06-05","cited_by_count":20,"area":null},{"id":"2503.13217","title":"Dense Policy: Bidirectional Autoregressive Learning of Actions","created":"2025-03-17","cited_by_count":19,"area":null},{"id":"2301.11520","title":"SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning","created":"2023-01-27","cited_by_count":16,"area":null},{"id":"2505.07819","title":"H$^3$DP: Triply-Hierarchical Diffusion Policy for Visuomotor Learning","created":"2025-05-12","cited_by_count":16,"area":"diffusion"},{"id":"2210.10763","title":"On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning","created":"2022-10-19","cited_by_count":15,"area":null},{"id":"2412.09265","title":"Score and Distribution Matching Policy: Advanced Accelerated Visuomotor Policies via Matched Distillation","created":"2024-12-12","cited_by_count":13,"area":null},{"id":"2506.08822","title":"FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency","created":"2025-06-10","cited_by_count":13,"area":null},{"id":"2312.17116","title":"Generalizable Visual Reinforcement Learning with Segment Anything Model","created":"2023-12-28","cited_by_count":12,"area":null},{"id":"2310.00771","title":"Pre-training with Synthetic Data Helps Offline Reinforcement Learning","created":"2023-10-01","cited_by_count":9,"area":"offlinerl"},{"id":"2311.03485","title":"CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations","created":"2023-11-06","cited_by_count":9,"area":null},{"id":"2407.12792","title":"Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning","created":"2024-06-18","cited_by_count":9,"area":"offlinerl"},{"id":"2507.06710","title":"Spatial-Temporal Aware Visuomotor Diffusion Policy Learning","created":"2025-07-09","cited_by_count":9,"area":"diffusion"},{"id":"2305.16379","title":"Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning","created":"2023-05-25","cited_by_count":8,"area":null},{"id":"2401.13362","title":"TraKDis: A Transformer-based Knowledge Distillation Approach for Visual Reinforcement Learning with Application to Cloth Manipulation","created":"2024-01-24","cited_by_count":8,"area":"deeprl"},{"id":"2209.03694","title":"Aerial View Localization with Reinforcement Learning: Towards Emulating Search-and-Rescue","created":"2022-09-08","cited_by_count":4,"area":null},{"id":"2406.06037","title":"Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning","created":"2024-06-10","cited_by_count":4,"area":"deeprl"},{"id":"2502.07211","title":"Improve the Training Efficiency of DRL for Wireless Communication Resource Allocation: The Role of Generative Diffusion Models","created":"2025-02-11","cited_by_count":4,"area":"diffusion"},{"id":"2409.02714","title":"MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning","created":"2024-09-02","cited_by_count":3,"area":"deeprl"},{"id":"2512.07212","title":"Sample from What You See: Visuomotor Policy Learning via Diffusion Bridge with Observation-Embedded Stochastic Differential Equation","created":"2025-12-08","cited_by_count":3,"area":"diffusion"},{"id":"2410.14957","title":"Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations","created":"2024-10-19","cited_by_count":2,"area":"offlinerl"},{"id":"2601.11269","title":"X-Distill: Cross-Architecture Vision Distillation for Visuomotor Learning","created":"2026-01-16","cited_by_count":2,"area":null},{"id":"2303.13489","title":"Boosting Reinforcement Learning and Planning with Demonstrations: A Survey","created":"2023-03-23","cited_by_count":1,"area":null},{"id":"2310.01404","title":"H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation","created":"2023-10-02","cited_by_count":1,"area":null},{"id":"2401.09258","title":"Efficient Training of Generalizable Visuomotor Policies via Control-Aware Augmentation","created":"2024-01-17","cited_by_count":1,"area":null},{"id":"2409.19949","title":"Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner","created":"2024-09-30","cited_by_count":1,"area":"diffusion"},{"id":"2502.19544","title":"Efficient Reinforcement Learning by Guiding World Models with Non-Curated Data","created":"2025-02-26","cited_by_count":1,"area":"wm"},{"id":"2503.11565","title":"Disentangled Object-Centric Image Representation for Robotic Manipulation","created":"2025-03-14","cited_by_count":1,"area":null},{"id":"2505.18899","title":"Beyond Domain Randomization: Event-Inspired Perception for Visually Robust Adversarial Imitation from Videos","created":"2025-05-24","cited_by_count":1,"area":null},{"id":"2302.06009","title":"Policy-Induced Self-Supervision Improves Representation Finetuning in Visual RL","created":"2023-02-12","cited_by_count":0,"area":null},{"id":"2406.06072","title":"Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control","created":"2024-06-10","cited_by_count":0,"area":null},{"id":"2512.15020","title":"ISS Policy : Scalable Diffusion Policy with Implicit Scene Supervision","created":"2025-12-17","cited_by_count":0,"area":"diffusion"},{"id":"2602.21684","title":"Primary-Fine Decoupling for Action Generation in Robotic Imitation","created":"2026-02-25","cited_by_count":0,"area":"offlinerl"},{"id":"2605.15944","title":"FocalPolicy: Frequency-Optimized Chunking and Locally Anchored Flow Matching for Coherent Visuomotor Policy","created":"2026-05-15","cited_by_count":0,"area":"diffusion"},{"id":"2609.13318","title":"Attention-DP3: Spatially Object-aware 3D Diffusion Policy via Geometry-aligned Attentional Conditioning","created":"2026-09-10","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}