Recurrent World Models Facilitate Policy Evolution

David Ha, Jürgen Schmidhuber

Nov-20-2025, 15:24:28 GMT–Neural Information Processing Systems

The world model's extracted features are fed into compact and simple policies trained by evolution, achieving state of the art results in various

artificial intelligence, machine learning, reinforcement learning, (16 more...)

Neural Information Processing Systems

Nov-20-2025, 15:24:28 GMT

Conferences PDF

Country:
- North America
  - United States
    - Washington > King County
      - Seattle (0.04)
    - Massachusetts > Middlesex County
      - Cambridge (0.04)
  - Canada > Quebec
    - Montreal (0.04)
- Europe
  - Greece (0.04)
  - United Kingdom > England
    - Oxfordshire > Oxford (0.04)
  - Germany > North Rhine-Westphalia
    - Upper Bavaria > Munich (0.04)
  - Finland > Uusimaa
    - Helsinki (0.04)
- Asia
  - Japan > Honshū
    - Kantō > Tokyo Metropolis Prefecture > Tokyo (0.14)
  - China > Beijing
    - Beijing (0.04)

Industry:
- Leisure & Entertainment
  - Games > Computer Games (1.00)
  - Sports (0.67)
- Health & Medicine > Therapeutic Area
  - Neurology (0.68)

Technology:
- Information Technology > Artificial Intelligence
  - Representation & Reasoning (1.00)
  - Cognitive Science > Problem Solving (1.00)
  - Machine Learning
    - Neural Networks > Deep Learning (1.00)
    - Reinforcement Learning (0.70)

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Recurrent World Models Facilitate Policy Evolution
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