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method:decision-transformer

Decision Transformer

A model that frames RL as sequence modeling, SOTA from random trajectories.

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Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • Signal Transformerconcept0.795
    Core abstraction in Fruit: pure function mapping signals to signals; enables compositional GUI definitions.
  • Base architecture of reasoning LLMs studied, with attention and MLP blocks per layer
  • Core machine learning architecture analyzed in the paper; shown to be mathematically related to TEM.
  • Neural network architecture based on attention, commonly used in large language models
  • Hypothesis that neocortical circuits beyond hippocampus may implement transformer-like computations for language and other domains.
  • LTPBR principle that restoration design should allow natural system self-organization rather than imposing predetermined outcomes.
  • A transformation that sharpens and increases the distinction between two types of centers, creating stronger polarity.
  • Two-layer transformer with rotary positional encodings used in numeric task experiments.