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Few-Shot Imitation Learning

Papers

Showing 115 of 15 papers

TitleStatusHype
ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AICode1
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in ControlCode1
Abstract-to-Executable Trajectory Translation for One-Shot Task GeneralizationCode1
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive LossCode1
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy ImitationCode0
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation LearningCode0
Task-Embedded Control Networks for Few-Shot Imitation LearningCode0
Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous ControlCode0
Transferring Hierarchical Structure with Dual Meta Imitation Learning0
Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets0
Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning0
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning0
Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation0
Transfering Hierarchical Structure with Dual Meta Imitation Learning0
VITAL: Interactive Few-Shot Imitation Learning via Visual Human-in-the-Loop Corrections0
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