12 citations · 21 across the 11 of their papers we have counts for
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cs.AI2023
Preference-conditioned Pixel-based AI Agent For Game Testing
Sherif Abdelfattah, Adrian Brown, Pushi Zhang
The game industry is challenged to cope with increasing growth in demand and game complexity while maintaining acceptable quality standards for released games. Classic approaches s…
cs.AI2023★ 12 cited
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
Bin Hu, Chenyang Zhao, Pu Zhang +4
Large language models (LLMs) encode a vast amount of world knowledge acquired from massive text datasets. Recent studies have demonstrated that LLMs can assist an embodied agent in…
cs.AI2023★ 3 cited
Asking Before Acting: Gather Information in Embodied Decision Making with Language Models
Xiaoyu Chen, Shenao Zhang, Pushi Zhang +2
With strong capabilities of reasoning and a broad understanding of the world, Large Language Models (LLMs) have demonstrated immense potential in building versatile embodied decisi…