{"total":27,"rows":[{"id":"2104.08212","title":"MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale","created":"2021-04-16","cited_by_count":229,"area":null},{"id":"2202.01017","title":"Multi-Task Learning as a Bargaining Game","created":"2022-02-02","cited_by_count":215,"area":null},{"id":"2101.02692","title":"Where2Act: From Pixels to Actions for Articulated 3D Objects","created":"2021-01-07","cited_by_count":182,"area":null},{"id":"2309.01918","title":"RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking","created":"2023-09-05","cited_by_count":169,"area":null},{"id":"2402.15487","title":"RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation","created":"2024-02-23","cited_by_count":48,"area":null},{"id":"2311.00926","title":"M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place","created":"2023-11-02","cited_by_count":41,"area":null},{"id":"2210.16822","title":"Towards Versatile Embodied Navigation","created":"2022-10-30","cited_by_count":26,"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":"2103.03697","title":"Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms","created":"2021-03-05","cited_by_count":22,"area":null},{"id":"2109.01097","title":"The Functional Correspondence Problem","created":"2021-09-02","cited_by_count":20,"area":null},{"id":"2103.09439","title":"HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks","created":"2021-03-17","cited_by_count":18,"area":null},{"id":"2409.00951","title":"Semantically Controllable Augmentations for Generalizable Robot Learning","created":"2024-09-02","cited_by_count":18,"area":null},{"id":"2301.13501","title":"Auxiliary Learning as an Asymmetric Bargaining Game","created":"2023-01-31","cited_by_count":12,"area":null},{"id":"2311.01075","title":"Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning","created":"2023-11-02","cited_by_count":10,"area":null},{"id":"2112.05298","title":"IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes","created":"2021-12-10","cited_by_count":9,"area":null},{"id":"2311.15033","title":"Agent as Cerebrum, Controller as Cerebellum: Implementing an Embodied LMM-based Agent on Drones","created":"2023-11-25","cited_by_count":9,"area":null},{"id":"2111.01510","title":"A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives","created":"2021-11-02","cited_by_count":6,"area":null},{"id":"2210.09566","title":"Simple Emergent Action Representations from Multi-Task Policy Training","created":"2022-10-18","cited_by_count":6,"area":null},{"id":"2109.08218","title":"SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning","created":"2021-09-16","cited_by_count":3,"area":null},{"id":"2110.03032","title":"Learning Multi-Objective Curricula for Robotic Policy Learning","created":"2021-10-06","cited_by_count":3,"area":null},{"id":"2205.12648","title":"Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization","created":"2022-05-25","cited_by_count":3,"area":null},{"id":"2305.17305","title":"DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning","created":"2023-05-26","cited_by_count":3,"area":null},{"id":"2509.24129","title":"Mash, Spread, Slice! Learning to Manipulate Object States via Visual Spatial Progress","created":"2025-09-28","cited_by_count":2,"area":null},{"id":"2209.10072","title":"On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies","created":"2022-09-21","cited_by_count":1,"area":null},{"id":"2402.03557","title":"Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement","created":"2024-02-05","cited_by_count":1,"area":null},{"id":"2505.08316","title":"Improving Unsupervised Task-driven Models of Ventral Visual Stream via Relative Position Predictivity","created":"2025-05-13","cited_by_count":1,"area":null},{"id":"2504.03423","title":"DML-RAM: Deep Multimodal Learning Framework for Robotic Arm Manipulation using Pre-trained Models","created":"2025-04-04","cited_by_count":0,"area":null}],"next_cursor":null}