20 citations · 20 across the 1 of their papers we have counts for
3 papers
cs.LG2025★ 20 cited
A Comprehensive Review of Multi-Agent Reinforcement Learning in Video Games
Zhengyang Li, Qijin Ji, Xinghong Ling +1
Recent advancements in multi-agent reinforcement learning (MARL) have demonstrated its application potential in modern games. Beginning with foundational work and progressing to la…
cs.AI2025
Language-Driven Coordination and Learning in Multi-Agent Simulation Environments
Zhengyang Li, Sawyer Campos, Nana Wang
This paper introduces LLM-MARL, a unified framework that incorporates large language models (LLMs) into multi-agent reinforcement learning (MARL) to enhance coordination, communica…
cs.CV2025
Intelligent road crack detection and analysis based on improved YOLOv8
Haomin Zuo, Zhengyang Li, Jiangchuan Gong +1
As urbanization speeds up and traffic flow increases, the issue of pavement distress is becoming increasingly pronounced, posing a severe threat to road safety and service life. Tr…