Kaelbling, Littman and Cassandra: planning in partially observable stochastic domains

What changed

Unified partial-observability planning and presented offline solution/controller extraction methods.

Scientific scope

The record is the exact three-author 1998 Artificial Intelligence paper. Optimality and controller claims remain within the finite models and algorithms analyzed; it does not absorb all POMDP theory, reinforcement learning or later approximations.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is the exact three-author 1998 Artificial Intelligence paper. Optimality and controller claims remain within the finite models and algorithms analyzed; it does not absorb all POMDP theory, reinforcement learning or later approximations.

Contributors

• Leslie Pack Kaelbling · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.
• Michael L. Littman · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.
• Anthony R. Cassandra · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.

• Publisher page for POMDP planning paper
• Anthony Cassandra archive copy of POMDP paper

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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