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
Model	Role	Weights updated	Selection basis
GPT-4	policy	No	Not recorded: verify in the paper/code
GPT-3.5 Turbo	reflector	No	Not recorded: verify in the paper/code

ExpeL: LLM Agents Are Experiential Learners

2024-01-29 · Verified

Paper info

Evolution targets

Experience memory, Actor policy

Benchmark

ALFWorld, WebShop

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Strict reproduction Method reproduction Modern rerun

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

GPT-4

Reflector

GPT-3.5 Turbo

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

GPT-4

Policy · weights not updated · GPT-4 as the ExpeL agent policy extracting experiential insights.

GPT-3.5 Turbo

Reflector · weights not updated · GPT-3.5 Turbo used in experience-collection / reflection ablations.