Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models

Alexander Neitz, Giambattista Parascandolo, Stefan Bauer, Bernhard Schölkopf

Nov-20-2025, 14:23:39 GMT–Neural Information Processing Systems

We introduce a method which enables a recurrent dynamics model to be temporally abstract.

machine learning, reinforcement learning, trajectory, (14 more...)

Neural Information Processing Systems

Nov-20-2025, 14:23:39 GMT

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Country:
- Europe > United Kingdom
  - England > Cambridgeshire > Cambridge (0.04)
- North America
  - Canada > Quebec
    - Montreal (0.04)
  - United States (0.04)

Genre:
- Instructional Material (0.46)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning
    - Learning Graphical Models > Undirected Networks
      - Markov Models (0.46)
    - Neural Networks (0.95)
    - Reinforcement Learning (0.95)
  - Representation & Reasoning (1.00)

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Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models

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