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20222026
most citedEmbodied LLM Agents Learn to Cooperate in Organized Teams

6 citations · 22 across the 11 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.LG2024★ 6 cited

Conversational Dueling Bandits in Generalized Linear Models

Shuhua Yang, Hui Yuan, Xiaoying Zhang +3

Conversational recommendation systems elicit user preferences by interacting with users to obtain their feedback on recommended commodities. Such systems utilize a multi-armed band…

cs.LG2024

Contractual Reinforcement Learning: Pulling Arms with Invisible Hands

Jibang Wu, Siyu Chen, Mengdi Wang +2

The agency problem emerges in today's large scale machine learning tasks, where the learners are unable to direct content creation or enforce data collection. In this work, we prop…

cs.LG2024★ 3 cited

Diffusion Model for Data-Driven Black-Box Optimization

Zihao Li, Hui Yuan, Kaixuan Huang +4

Generative AI has redefined artificial intelligence, enabling the creation of innovative content and customized solutions that drive business practices into a new era of efficiency…

cs.AI2024★ 6 cited

Embodied LLM Agents Learn to Cooperate in Organized Teams

Xudong Guo, Kaixuan Huang, Jiale Liu +6

Large Language Models (LLMs) have emerged as integral tools for reasoning, planning, and decision-making, drawing upon their extensive world knowledge and proficiency in language-r…

q-bio.BM2024

Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization

Jiahao Qiu, Hui Yuan, Jinghong Zhang +3

While modern biotechnologies allow synthesizing new proteins and function measurements at scale, efficiently exploring a protein sequence space and engineering it remains a dauntin…