Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning Qi Wang 1, 2 Junming Y ang 3 Y unbo Wang

Oct-10-2025, 13:28:50 GMT–Neural Information Processing Systems

Training offline RL models using visual inputs poses two significant challenges, i.e.,

coworld, machine learning, reinforcement learning, (17 more...)

Neural Information Processing Systems

Oct-10-2025, 13:28:50 GMT

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Country:
- Asia > China
  - Shanghai > Shanghai (0.04)
  - Zhejiang Province > Ningbo (0.04)

Genre:
- Research Report > Experimental Study (0.93)

Industry:
- Education (1.00)
- Health & Medicine (0.68)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Undirected Networks
      - Markov Models (0.46)
    - Neural Networks (1.00)
    - Reinforcement Learning (1.00)
  - Representation & Reasoning (1.00)
  - Robots (1.00)
  - Vision (1.00)

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Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning Qi Wang 1, 2 Junming Y ang 3 Y unbo Wang

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