Explaining Agent Behavior with Large Language Models

https://arxiv.org/abs/2309.10346

Learns a compact behavior representation from observed states and actions without model internals, then prompts an LLM to explain; little hallucination; rated about as helpful as a human domain expert; supports follow-up clarification and what-if questions.

LLM explanation of simulation state