2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2023
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language
Zhourui Guo, Meng Yao, Yang Yu +1
Reinforcement learning is a powerful technique for learning from trial and error, but it often requires a large number of interactions to achieve good performance. In some domains,…
cs.MA2023
More Like Real World Game Challenge for Partially Observable Multi-Agent Cooperation
Meng Yao, Xueou Feng, Qiyue Yin
Some standardized environments have been designed for partially observable multi-agent cooperation, but we find most current environments are synchronous, whereas real-world agents…
cs.MA2021★ 2 cited
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
Meng Yao, Qiyue Yin, Jun Yang +5
Multi-agent reinforcement learning (MARL) has received increasing attention for its applications in various domains. Researchers have paid much attention on its partially observabl…