Manipulation skill learning on multi-step complex task based on explicit and implicit curriculum learning

被引:9
|
作者
Liu, Naijun [1 ,2 ]
Lu, Tao [1 ]
Cai, Yinghao [1 ]
Wang, Rui [1 ]
Wang, Shuo [1 ,2 ,3 ]
机构
[1] Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai 200031, Peoples R China
基金
中国国家自然科学基金;
关键词
Complex task - Learning mechanism - Learning methods - Learning techniques - Multi-step - Skill learning;
D O I
10.1007/s11432-019-2648-7
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Conclusion We proposed a TATD-HER curriculum learning method to learn manipulation skills on multi-step complex tasks. The method addresses the complicated task with both explicit and implicit curriculum learning mechanisms. The experimental results demonstrate the effectiveness of our proposed TATD-HER method and show that the combination of explicit and implicit curriculum learning techniques is crucial for learning complex manipulation skills. Future work involves applying our method to more complex tasks.
引用
收藏
页数:3
相关论文
共 50 条
  • [1] Manipulation skill learning on multi-step complex task based on explicit and implicit curriculum learning
    Naijun LIU
    Tao LU
    Yinghao CAI
    Rui WANG
    Shuo WANG
    [J]. Science China(Information Sciences), 2022, 65 (01) : 259 - 261
  • [2] Manipulation skill learning on multi-step complex task based on explicit and implicit curriculum learning
    Naijun Liu
    Tao Lu
    Yinghao Cai
    Rui Wang
    Shuo Wang
    [J]. Science China Information Sciences, 2022, 65
  • [3] Multi-step Forecasting via Multi-task Learning
    Jawed, Shayan
    Rashed, Ahmed
    Schmidt-Thieme, Lars
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2019, : 790 - 799
  • [4] An exploration of implicit and explicit learning and skill level in complex dynamic systems
    NiDhiomasaigh, L
    McCarthy, J
    [J]. IRISH JOURNAL OF PSYCHOLOGY, 1995, 16 (04): : 322 - 333
  • [5] Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation
    Fang, Kuan
    Zhu, Yuke
    Garg, Animesh
    Savarese, Silvio
    Li Fei-Fei
    [J]. CONFERENCE ON ROBOT LEARNING, VOL 100, 2019, 100
  • [6] Learning Implicit and Explicit Multi-task Interactions for Information Extraction
    Sun, Kai
    Zhang, Richong
    Mensah, Samuel
    Mao, Yongyi
    Liu, Xudong
    [J]. ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2023, 41 (02)
  • [7] IMPLICIT LEARNING IN A COMPLEX TRACKING SKILL
    MAGILL, RA
    GREEN, KJ
    [J]. BULLETIN OF THE PSYCHONOMIC SOCIETY, 1989, 27 (06) : 488 - 488
  • [8] The role of actions in implicit and explicit motor skill learning
    Witt, J
    Willingham, D
    [J]. JOURNAL OF COGNITIVE NEUROSCIENCE, 2005, : 100 - 100
  • [9] Skill Learning and Task Outcome Prediction for Manipulation
    Pastor, Peter
    Kalakrishnan, Mrinal
    Chitta, Sachin
    Theodorou, Evangelos
    Schaal, Stefan
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2011,
  • [10] Multi-step Q learning algorithm for task scheduling in collaborative design
    Chen, Shenglei
    Wu, Huizhong
    Xiao, Liang
    Zhu, Yaoqin
    [J]. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2007, 19 (03): : 398 - 402