Classic AI: search, logic & planning· 1998
Planning and acting in partially observable stochastic domains
On the reading lists
- #344 in the Top 500 (2026 edition)
- #17 in Classic AI: search, logic & planning (2026 edition)
Why it matters
Established influential methods for planning under uncertainty and partial observability.
Condensed from the expert lists' notes.
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.