From skills to symbols: Learning symbolic representations for abstract high-level planning

被引:0
|
作者
Konidaris, George [1 ,2 ]
Kaelbling, Leslie Pack [3 ]
Lozano-Perez, Tomas [3 ]
机构
[1] Brown University, Providence,RI,02912, United States
[2] Duke University, Durham,NC,27708, United States
[3] MIT CSAIL, 32 Vassar Street, Cambridge,MA,02139, United States
关键词
Abstract representation - Probabilistic classification - Probabilistic density - Probabilistic planning - Probability of success - Specific distribution - Symbolic representation - Theoretical foundations;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:215 / 289
相关论文
共 50 条
  • [1] From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning
    Konidaris, George
    Kaelbling, Leslie Pack
    Lozano-Perez, Tomas
    JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2018, 61 : 215 - 289
  • [2] Constructing Symbolic Representations for High-Level Planning
    Konidaris, George
    Kaelbling, Leslie Pack
    Lozano-Perez, Tomas
    PROCEEDINGS OF THE TWENTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2014, : 1932 - +
  • [3] Learning Portable Representations for High-Level Planning
    James, Steven
    Rosman, Benjamin
    Konidaris, George
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 119, 2020, 119
  • [4] Learning Symbolic Representations for Planning with Parameterized Skills
    Ames, Barrett
    Thackston, Allison
    Konidaris, George
    2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 526 - 533
  • [5] The Cost of Multiple Representations: Learning Number Symbols With Abstract and Concrete Representations
    Bennett, Amy
    Inglis, Matthew
    Gilmore, Camilla
    JOURNAL OF EDUCATIONAL PSYCHOLOGY, 2019, 111 (05) : 847 - 860
  • [6] Hierarchical Skill Learning for High-level Planning
    MacGlashan, James
    PROCEEDINGS OF THE TWENTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-10), 2010, : 1988 - 1989
  • [7] High-level representations through unconstrained sensorimotor learning
    Ozturkcu, Ozgur Baran
    Ugur, Emre
    Oztop, Erhan
    10TH IEEE INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING AND EPIGENETIC ROBOTICS (ICDL-EPIROB 2020), 2020,
  • [8] Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations
    Pacheck, Adam
    Konidaris, George
    Kress-Gazit, Hadas
    ROBOTICS RESEARCH: THE 19TH INTERNATIONAL SYMPOSIUM ISRR, 2022, 20 : 509 - 525
  • [9] Automatic encoding and repair of reactive high-level tasks with learned abstract representations
    Pacheck, Adam
    James, Steven
    Konidaris, George
    Kress-Gazit, Hadas
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2023, 42 (4-5): : 263 - 288
  • [10] From Sensorimotor Knowledge to Abstract Symbolic Representations
    Stramadinoli, Francesca
    Rucinski, Marek
    Znajdek, Joanna
    Rohlfing, Katharina J.
    Cangelosi, Angelo
    PROCEEDINGS OF THE 2ND EUROPEAN FUTURE TECHNOLOGIES CONFERENCE AND EXHIBITION 2011 (FET 11), 2011, 7 : 269 - 271