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LATENT REFERENCES / TAG2

SARSA

Archive curator and editor: Keigo Yoshida

This reference note belongs to Tag2 in Latent References, an archive curated by Keigo Yoshida. Its archive region is Physics. The note preserves its source text and links so that readers can trace the material behind the 3D map.

Collection
Tag2
Archive region
Physics

Archived reference note

English translation of the archived note. JP shows the original text. Source links and literal code are retained; the translation does not update or independently verify the source claims.

Sarsa. Sarsa is a learning method consisting of 5 elements: “S (current state),” “A (agent's action),” “R (reward),” “S' (state after the action),” and “A' (the agent's next action determined from the post-action state).” When an agent takes an action from its current state, it receives a reward for that action. https://scrapbox.io/files/64c656f603f8d3001c4209c1.png

Source updated 2023-07-30 · Snapshot 2026-10-08

Source links and calculated neighbors

Cosine values measure shared lexical features, not truth, agreement or identical meaning. Original reference links are labeled separately.

  • Swarm IntelligenceComputed lexical cosine similarity 0.115 · shared title, text, tags and references
  • GridworldComputed lexical cosine similarity 0.094 · shared title, text, tags and references
  • MCP Model Context ProtocolComputed lexical cosine similarity 0.086 · shared title, text, tags and references