Joseph J. Lim

University of Southern California, Stanford University, Institute of Occupational Medicine, Berkeley College, Korea Advanced Institute of Science and Technology, Southern California University for Professional Studies

论文数

28

总引用数

2,152

H-Index

12

关于

暂无简介。

研究焦点

Computer science28 · 2,152 次引用
Artificial intelligence26 · 2,141 次引用
Machine learning15 · 1,906 次引用
Robot19 · 1,876 次引用
Reinforcement learning13 · 1,787 次引用
Feature (linguistics)3 · 1,778 次引用
Inefficiency3 · 1,681 次引用
Algorithm3 · 1,675 次引用
State (computer science)3 · 1,675 次引用
Deep learning2 · 1,670 次引用
Matching (statistics)2 · 1,670 次引用
Feature engineering2 · 1,670 次引用

主要成就

12
H 指数
28
论文
2,152
总引用数
77
篇均引用
🏆 最高被引论文
Target-driven visual navigation in indoor scenes using deep reinforcement learning
1,507 次引用 · 2017
📈 最高产年份: 2020 (5 论文)
🤝 主要合作者: 145
🏛 所属机构: University of Southern California, Stanford University, Institute of Occupational Medicine, Berkeley College, Korea Advanced Institute of Science and Technology, Southern California University for Professional Studies

代表论文

  1. 1
    Target-driven visual navigation in indoor scenes using deep reinforcement learning
    1,507 次引用 · 2017
  2. 2
    Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
    163 次引用 · 2016
  3. 3
    Demo2Vec: Reasoning Object Affordances from Online Videos
    108 次引用 · 2018
  4. 4
    DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
    108 次引用 · 2024
  5. 5
    Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
    38 次引用 · 2017
  6. 6
    IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
    26 次引用 · 2021
  7. 7
    FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation
    25 次引用 · 2023
  8. 8
    Learning to Coordinate Manipulation Skills via Skill Behavior Diversification
    23 次引用 · 2020
  9. 9
    Accelerating Reinforcement Learning with Learned Skill Priors
    19 次引用 · 2020
  10. 10
    Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations
    16 次引用 · 2018

主要合作者

YLYoungwoon Lee16 篇合著论文KPKarl Pertsch10 篇合著论文GSGaurav S. Sukhatme7 篇合著论文MHMinho Heo5 篇合著论文HZHejia Zhang5 篇合著论文YZYuke Zhu5 篇合著论文EHEric Heiden4 篇合著论文ESEdward S. Hu4 篇合著论文SDShivin Dass3 篇合著论文DLDoohyun Lee3 篇合著论文SNStefanos Nikolaidis3 篇合著论文KHKarol Hausman3 篇合著论文SSStefan Schaal3 篇合著论文SPSungjae Park2 篇合著论文RLRoy Lin2 篇合著论文CCCheng Chi2 篇合著论文KHKyle Hatch2 篇合著论文QCQiuyu Chen2 篇合著论文RMRoozbeh Mottaghi2 篇合著论文AJArhan Jain2 篇合著论文
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