most citedMulti-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges

36 citations · 36 across the 1 of their papers we have counts for

collaborators

1 paper

cs.AI2023★ 36 cited

Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges

Ziyuan Zhou, Guanjun Liu, Ying Tang

Multi-agent reinforcement learning (MARL) is a widely used Artificial Intelligence (AI) technique. However, current studies and applications need to address its scalability, non-st…