Meta-World
Canonical40papers using it
2024first seen
A benchmark of 50 robotic manipulation tasks for multi-task and meta-reinforcement learning.
Papers using Meta-World (40)
- RARM: Confidence-Gated Progress Reward Modeling for RL in ManipulationReGIL: Retrieval-Guided Imitation Learning from a Single DemonstrationVICX: Generalizable Robot Manipulation via Video Generation and In-Context Operator NetworkHyper-DP3: Frequency-Aware Right-Sizing of 3D Diffusion Policies for Visuomotor ControlData-Asymmetric Latent Imagination and Reranking for 3D Robotic Imitation LearningLearning Bilevel Policies over Symbolic World Models for Long-Horizon PlanningMulti-View Video Diffusion Policy: A 3D Spatio-Temporal-Aware Video Action ModelOFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic ManipulationAda3Drift: Adaptive Training-Time Drifting for One-Step 3D Visuomotor Robotic ManipulationProbeFlow: Training-Free Adaptive Flow Matching for Vision-Language-Action ModelsFODMP: Fast One-Step Diffusion of Movement Primitives Generation for Time-Dependent Robot ActionsKAN We Flow? Advancing Robotic Manipulation with 3D Flow Matching via KAN & RWKVPRISM: Performer RS-IMLE for Single-pass Multisensory Imitation LearningMARVL: Multi-Stage Guidance for Robotic Manipulation via Vision-Language ModelsPrimary-Fine Decoupling for Action Generation in Robotic ImitationImproving Robustness of Vision-Language-Action Models by Restoring Corrupted Visual InputsForeDiffusion: Foresight-Conditioned Diffusion Policy via Future View Construction for Robot ManipulationDemonstration-Free Robotic Control via LLM AgentsInformation Filtering via Variational Regularization for Robot ManipulationPocketDP3: Efficient Pocket-Scale 3D Visuomotor PolicyMasked Generative Policy for Robotic ControlISS Policy : Scalable Diffusion Policy with Implicit Scene SupervisionOMP: One-step Meanflow Policy with Directional AlignmentTrajectory Conditioned Cross-embodiment Skill Transfer3D Flow Diffusion Policy: Visuomotor Policy Learning via Generating Flow in 3D SpaceVGGT-DP: Generalizable Robot Control via Vision Foundation ModelsPixel Motion Diffusion is What We Need for Robot ControlGrowing with Your Embodied Agent: A Human-in-the-Loop Lifelong Code Generation Framework for Long-Horizon Manipulation SkillsSpatial Policy: Guiding Visuomotor Robotic Manipulation with Spatial-Aware Modeling and ReasoningEC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric FlowMP1: MeanFlow Tames Policy Learning in 1-step for Robotic ManipulationSelf-Improving Loops for Visual Robotic PlanningData-efficient Multitask DaggerTimerewarder: Learning Dense Reward From Passive Videos Via Frame-wise Temporal DistanceMerging and Disentangling Views in Visual Reinforcement Learning for Robotic ManipulationTime Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement LearningCoupled Distributional Random Expert Distillation For World Model Online Imitation LearningFRMD: Fast Robot Motion Diffusion with Consistency-Distilled Movement Primitives for Smooth Action GenerationSubtask-Aware Visual Reward Learning from Segmented DemonstrationsFlowPolicy: Enabling Fast and Robust 3D Flow-based Policy via Consistency Flow Matching for Robot Manipulation