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Why these models were selected

Roles and weight updates come from the paper case record. Selection reasons are written only when the paper or code states them; unknown is never inferred as fact.

Paper model roles and selection-evidence status
ModelRoleWeights updatedSelection basis
text-davinci-003policyNoNot recorded: verify in the paper/code

AdaPlanner: Adaptive Planning from Feedback with Language Models

2023-05-26 · Verified

Paper info

Evolution targets
Planning policy, Reflection memory
Benchmark
ALFWorld, MiniWoB++
Category
Self-evolving agent, Reasoning, Tool use
Model relations
1

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Reproducibility status

CodeNot verified
CheckpointNot verified
ConfigNot verified
EnvironmentNot verified

No structured reproducibility record has been added yet.

Model-role topology

This view only shows recorded model-role relations; it does not invent workflow edges.

Policy
text-davinci-003

This paper record has no workflow edges; the topology above only shows recorded roles and does not treat Actor, Environment, Critic, or Optimizer relations as facts.

Model roles

text-davinci-003

Policy · weights not updated · text-davinci-003 is the AdaPlanner adaptive planning backbone.

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