Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy Cameron Allen UC Berkeley Aaron Kirtland Brown University Ruo Y u Tao

Oct-10-2025, 06:06:52 GMT–Neural Information Processing Systems

These authors contributed equally and are ordered alphabetically.

machine learning, natural language, reinforcement learning, (19 more...)

Neural Information Processing Systems

Oct-10-2025, 06:06:52 GMT

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Country:
- Asia > Middle East
  - Jordan (0.04)
- North America > United States (0.14)

Genre:
- Research Report
  - Experimental Study (1.00)
  - New Finding (1.00)

Industry:
- Education > Educational Setting > Higher Education (0.40)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Undirected Networks
      - Markov Models (0.50)
    - Neural Networks > Deep Learning (0.93)
    - Reinforcement Learning (1.00)
    - Statistical Learning (0.93)
  - Natural Language (1.00)
  - Representation & Reasoning (1.00)

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Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy Cameron Allen UC Berkeley Aaron Kirtland Brown University Ruo Y u Tao

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