Search Results for author: Clayton Washington

Found 1 papers, 0 papers with code

LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

no code implementations ICCV 2023 Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M. Sadler, Wei-Lun Chao, Yu Su

In this work, we propose a novel method, LLM-Planner, that harnesses the power of large language models to do few-shot planning for embodied agents.

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