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Choices are More Important than Efforts: LLM Enables Efficient
  Multi-Agent Exploration

Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration

3 October 2024
Yun Qu
Boyuan Wang
Yuhang Jiang
Jianzhun Shao
Yixiu Mao
Cheems Wang
Chang Liu
Xiangyang Ji
ArXivPDFHTML

Papers citing "Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration"

2 / 2 papers shown
Title
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Yun Qu
W. Wang
Yixiu Mao
Yiqin Lv
Xiangyang Ji
TTA
78
0
0
27 Apr 2025
Efficient Policy Adaptation with Contrastive Prompt Ensemble for
  Embodied Agents
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
Wonje Choi
Woo Kyung Kim
SeungHyun Kim
Honguk Woo
72
7
0
16 Dec 2024
1