Papers with simulation-free testbed featuring

1 papers
LangSuit·E: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments (2024.findings-acl)

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Challenge: Recent advances in Large Language Models (LLMs) have shown inspiring achievements in constructing autonomous agents that rely on language descriptions as inputs.
Approach: They propose a flexible and simulation-free testbed that simulates 6 representative embodied tasks in textual embodies.
Outcome: The proposed testbed offers adaptability to diverse environments without multiple simulation engines and allows easy customization of communication and action strategies.

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