HomeResearch LibraryDescribe, Explain, Plan and Select: Interactive Plannin…
system architectureChapter 2NeurIPS 2023 · 2023

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models

Zhengyao Jiang (UCL), Yingchen Xu (UCL)

Abstract

We present DEPS, a method for interactive planning with LLMs that uses a describe-explain-plan-select loop. DEPS enables agents to interactively refine plans based on execution feedback.

Eigenvector Insight — Zone III / PASF-PADE AnalysisNot part of the original paper
Eigenvector Research — Marco van Hurne
How this paper contributes to solving the Zone III problem (PASF-PADE)

DEPS formalizes the interactive planning pattern where agents refine their plans based on execution feedback. This is essential for Zone III workflows where initial plans must adapt to real-world execution results.

Why AI is not sufficient for Zone III without this

Zone III refers to high-complexity, high-risk, long-running agentic workflows — the class of enterprise AI deployments where a single failure can cascade across hundreds of steps. Standard AI models, trained to predict the next token, are not inherently designed for durable, governed, multi-step execution. This paper addresses one or more of the structural gaps that make Zone III deployments unsafe without explicit architectural intervention.

Key Contributions

  • →DEPS interactive planning loop
  • →Execution-feedback plan refinement
  • →Describe-explain-plan-select cycle

Topics

interactive planningplan refinementfeedback loopsembodied agents