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

Start research from this paper

Choose a research mode to carry this paper into the workspace context.

Strict reproduction Method reproduction Modern rerun

Reproducibility status

Code Not verified

Checkpoint Not verified

Config Not verified

Environment Not 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.