{"total":71,"rows":[{"id":"2205.06175","title":"A Generalist Agent","created":"2022-05-12","cited_by_count":808,"area":"agents"},{"id":"2307.15055","title":"PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking","created":"2023-07-27","cited_by_count":276,"area":null},{"id":"2211.03726","title":"TAP-Vid: A Benchmark for Tracking Any Point in a Video","created":"2022-11-07","cited_by_count":263,"area":null},{"id":"2306.05422","title":"Tracking Everything Everywhere All at Once","created":"2023-06-08","cited_by_count":193,"area":null},{"id":"2404.04319","title":"SpatialTracker: Tracking Any 2D Pixels in 3D Space","created":"2024-04-05","cited_by_count":181,"area":null},{"id":"2302.11550","title":"Scaling Robot Learning with Semantically Imagined Experience","created":"2023-02-22","cited_by_count":177,"area":null},{"id":"2408.03539","title":"Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes","created":"2024-08-07","cited_by_count":176,"area":"deeprl"},{"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":"2309.10150","title":"Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions","created":"2023-09-18","cited_by_count":131,"area":"offlinerl"},{"id":"2306.11706","title":"RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation","created":"2023-06-20","cited_by_count":111,"area":"agents"},{"id":"2312.08782","title":"Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis","created":"2023-12-14","cited_by_count":103,"area":null},{"id":"2310.10021","title":"Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance","created":"2023-10-16","cited_by_count":86,"area":"synth"},{"id":"2407.15420","title":"Local All-Pair Correspondence for Point Tracking","created":"2024-07-22","cited_by_count":80,"area":null},{"id":"2410.24211","title":"DELTA: Dense Efficient Long-range 3D Tracking for any video","created":"2024-10-31","cited_by_count":65,"area":null},{"id":"2312.00786","title":"Dense Optical Tracking: Connecting the Dots","created":"2023-12-01","cited_by_count":61,"area":null},{"id":"2206.13464","title":"When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning","created":"2022-06-27","cited_by_count":60,"area":"offlinerl"},{"id":"2506.07310","title":"AllTracker: Efficient Dense Point Tracking at High Resolution","created":"2025-06-08","cited_by_count":58,"area":null},{"id":"2307.09668","title":"Towards A Unified Agent with Foundation Models","created":"2023-07-18","cited_by_count":47,"area":"mllm"},{"id":"2210.04932","title":"NeRF2Real: Sim2real Transfer of Vision-guided Bipedal Motion Skills using Neural Radiance Fields","created":"2022-10-10","cited_by_count":44,"area":null},{"id":"2404.03729","title":"JUICER: Data-Efficient Imitation Learning for Robotic Assembly","created":"2024-04-04","cited_by_count":38,"area":"offlinerl"},{"id":"2402.05546","title":"Offline Actor-Critic Reinforcement Learning Scales to Large Models","created":"2024-02-08","cited_by_count":30,"area":"offlinerl"},{"id":"2212.08244","title":"Offline Reinforcement Learning for Visual Navigation","created":"2022-12-16","cited_by_count":29,"area":"offlinerl"},{"id":"2304.06600","title":"Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation","created":"2023-04-13","cited_by_count":29,"area":null},{"id":"2211.01500","title":"Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity","created":"2022-11-02","cited_by_count":28,"area":null},{"id":"2112.05062","title":"Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies","created":"2021-12-09","cited_by_count":26,"area":null},{"id":"2210.01542","title":"Hyperbolic Deep Reinforcement Learning","created":"2022-10-04","cited_by_count":25,"area":null},{"id":"2210.06601","title":"Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks","created":"2022-10-12","cited_by_count":25,"area":null},{"id":"2312.09523","title":"DriveTrack: A Benchmark for Long-Range Point Tracking in Real-World Videos","created":"2023-12-15","cited_by_count":25,"area":null},{"id":"2201.13388","title":"Compositional Multi-Object Reinforcement Learning with Linear Relation Networks","created":"2022-01-31","cited_by_count":19,"area":null},{"id":"2307.02427","title":"FOCUS: Object-Centric World Models for Robotics Manipulation","created":"2023-07-05","cited_by_count":17,"area":"wm"},{"id":"2402.04580","title":"A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents","created":"2024-02-07","cited_by_count":16,"area":null},{"id":"2501.12218","title":"Exploring Temporally-Aware Features for Point Tracking","created":"2025-01-21","cited_by_count":15,"area":null},{"id":"2403.17931","title":"Track Everything Everywhere Fast and Robustly","created":"2024-03-26","cited_by_count":14,"area":null},{"id":"2410.04166","title":"Learning from negative feedback, or positive feedback or both","created":"2024-10-05","cited_by_count":13,"area":"alignment"},{"id":"2603.02573","title":"Track4World: Feedforward World-centric Dense 3D Tracking of All Pixels","created":"2026-03-03","cited_by_count":13,"area":null},{"id":"2111.06383","title":"Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation","created":"2021-11-11","cited_by_count":10,"area":"offlinerl"},{"id":"2311.15951","title":"Replay across Experiments: A Natural Extension of Off-Policy RL","created":"2023-11-27","cited_by_count":10,"area":null},{"id":"2512.13100","title":"OXE-AugE: A Large-Scale Robot Augmentation of OXE for Scaling Cross-Embodiment Policy Learning","created":"2025-12-15","cited_by_count":10,"area":"vla"},{"id":"2205.03353","title":"How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation","created":"2022-05-06","cited_by_count":9,"area":"offlinerl"},{"id":"2208.12986","title":"6D Robotic Assembly Based on RGB-only Object Pose Estimation","created":"2022-08-27","cited_by_count":9,"area":null},{"id":"2303.07026","title":"Visual-Policy Learning through Multi-Camera View to Single-Camera View Knowledge Distillation for Robot Manipulation Tasks","created":"2023-03-13","cited_by_count":7,"area":"distill"},{"id":"2502.03822","title":"Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training","created":"2025-02-06","cited_by_count":7,"area":"diffusion"},{"id":"2302.12617","title":"Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains","created":"2023-02-24","cited_by_count":6,"area":null},{"id":"2307.15320","title":"Robust Visual Sim-to-Real Transfer for Robotic Manipulation","created":"2023-07-28","cited_by_count":5,"area":null},{"id":"2401.14502","title":"MResT: Multi-Resolution Sensing for Real-Time Control with Vision-Language Models","created":"2024-01-25","cited_by_count":5,"area":"mllm"},{"id":"2407.20798","title":"Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning","created":"2024-07-30","cited_by_count":5,"area":"mllm"},{"id":"2504.20359","title":"PRISM-DP: Spatial Pose-based Observations for Diffusion-Policies via Segmentation, Mesh Generation, and Pose Tracking","created":"2025-04-29","cited_by_count":5,"area":"diffusion"},{"id":"2306.13872","title":"Learning from Pixels with Expert Observations","created":"2023-06-24","cited_by_count":3,"area":null},{"id":"2405.19885","title":"Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning","created":"2024-05-30","cited_by_count":3,"area":"deeprl"},{"id":"2409.12005","title":"Representing Positional Information in Generative World Models for Object Manipulation","created":"2024-09-18","cited_by_count":3,"area":"wm"},{"id":"2409.14615","title":"Optimizing Active Perception for Learning Simultaneous Viewpoint Selection and Manipulation with Diffusion Policy","created":"2024-09-22","cited_by_count":3,"area":"diffusion"},{"id":"2503.06471","title":"Online Dense Point Tracking with Streaming Memory","created":"2025-03-09","cited_by_count":3,"area":null},{"id":"2507.05695","title":"Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning","created":"2025-07-08","cited_by_count":3,"area":"diffusion"},{"id":"2507.06233","title":"AnthroTAP: Learning Point Tracking with Real-World Motion","created":"2025-07-08","cited_by_count":3,"area":null},{"id":"2210.06766","title":"Policy Gradient With Serial Markov Chain Reasoning","created":"2022-10-13","cited_by_count":2,"area":"lr"},{"id":"2312.09120","title":"Less is more -- the Dispatcher/ Executor principle for multi-task Reinforcement Learning","created":"2023-12-14","cited_by_count":2,"area":null},{"id":"2409.11144","title":"Use the Force, Bot! -- Force-Aware ProDMP with Event-Based Replanning","created":"2024-09-17","cited_by_count":2,"area":null},{"id":"2509.14848","title":"Multi-Fidelity Hybrid Reinforcement Learning via Information Gain Maximization","created":"2025-09-18","cited_by_count":2,"area":"deeprl"},{"id":"2605.31595","title":"Learning Global Motion with Compact Gaussians for Feed-Forward 4D Reconstruction","created":"2026-05-29","cited_by_count":2,"area":null},{"id":"2306.09800","title":"$\\pi2\\text{vec}$: Policy Representations with Successor Features","created":"2023-06-16","cited_by_count":1,"area":null},{"id":"2309.14552","title":"Tactile Estimation of Extrinsic Contact Patch for Stable Placement","created":"2023-09-25","cited_by_count":1,"area":null},{"id":"2402.06102","title":"Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning","created":"2024-02-08","cited_by_count":1,"area":"deeprl"},{"id":"2404.10632","title":"Compact Multi-Object Placement Using Adjacency-Aware Reinforcement Learning","created":"2024-04-16","cited_by_count":1,"area":"deeprl"},{"id":"2410.10053","title":"DINTR: Tracking via Diffusion-based Interpolation","created":"2024-10-14","cited_by_count":1,"area":"diffusion"},{"id":"2508.11200","title":"Visuomotor Grasping with World Models for Surgical Robots","created":"2025-08-15","cited_by_count":1,"area":"wm"},{"id":"2310.04566","title":"Knolling Bot: Teaching Robots the Human Notion of Tidiness","created":"2023-10-06","cited_by_count":0,"area":null},{"id":"2409.18768","title":"Learning from Demonstration with Implicit Nonlinear Dynamics Models","created":"2024-09-27","cited_by_count":0,"area":"offlinerl"},{"id":"2503.12944","title":"GIFT: Generated Indoor video frames for Texture-less point tracking","created":"2025-03-17","cited_by_count":0,"area":null},{"id":"2509.24163","title":"Preference-Based Long-Horizon Robotic Stacking with Multimodal Large Language Models","created":"2025-09-29","cited_by_count":0,"area":"mllm"},{"id":"2603.07704","title":"PARSE: Part-Aware Relational Spatial Modeling","created":"2026-03-08","cited_by_count":0,"area":null},{"id":"2609.29669","title":"Do World Models Make Better Robots? A Survey of Evaluation Benchmarks for Predictive Embodied Intelligence","created":"2026-08-30","cited_by_count":0,"area":"wm"}],"next_cursor":null}