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Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss

9 February 2024

Furong Huang

ArXiv (abs)PDF HTML HuggingFace (11 upvotes)Github (17★)

Papers citing "Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss"

7 / 7 papers shown

TraceGen: World Modeling in 3D Trace Space Enables Learning from Cross-Embodiment Videos

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169

26 Nov 2025

Policy Compatible Skill Incremental Learning via Lazy Learning Interface

400

24 Sep 2025

Active Multimodal Distillation for Few-shot Action RecognitionInternational Joint Conference on Artificial Intelligence (IJCAI), 2025

209

16 Jun 2025

TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with DemonstrationsIEEE International Conference on Robotics and Automation (ICRA), 2025

313

09 May 2025

Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning

335

22 Jul 2024

Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion

473

15 Jul 2024

PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control

Furong Huang

323

16 Feb 2024