55 citations · 55 across the 3 of their papers we have counts for
3 papers
cs.RO2026
SyncPlan: Long-Horizon LLM Coordination with Explicit Synchronization and Adaptive Correction
Shen You, Xiaoming Zhu, Weining Weng +17
LLM-based multi-agent coordination faces a fundamental trade-off between efficiency and adaptivity in dynamic environments. Existing approaches typically rely on repeated LLM invoc…
cs.HC2024
Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain
Yiming Gao, Feiyu Liu, Liang Wang +12
Existing game AI research mainly focuses on enhancing agents' abilities to win games, but this does not inherently make humans have a better experience when collaborating with thes…
cs.AI2020★ 55 cited
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings
Deheng Ye, Guibin Chen, Peilin Zhao +15
We present JueWu-SL, the first supervised-learning-based artificial intelligence (AI) program that achieves human-level performance in playing multiplayer online battle arena (MOBA…