ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2409.18382
  4. Cited By
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models

CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models

27 September 2024
Kanghyun Ryu
Qiayuan Liao
Zhongyu Li
K. Sreenath
Negar Mehr
Negar Mehr
    LM&Ro
ArXivPDFHTML

Papers citing "CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models"

2 / 2 papers shown
Title
Knowledge capture, adaptation and composition (KCAC): A framework for cross-task curriculum learning in robotic manipulation
Knowledge capture, adaptation and composition (KCAC): A framework for cross-task curriculum learning in robotic manipulation
Xinrui Wang
Yan Jin
27
0
0
15 May 2025
Towards Robust Dialogue Breakdown Detection: Addressing Disruptors in Large Language Models with Self-Guided Reasoning
Towards Robust Dialogue Breakdown Detection: Addressing Disruptors in Large Language Models with Self-Guided Reasoning
Abdellah Ghassel
Xianzhi Li
Xiaodan Zhu
51
0
0
26 Apr 2025
1