303 citations · 533 across the 92 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.LG2018★ 32 cited
Graph Convolutional Reinforcement Learning
Jiechuan Jiang, Chen Dun, Tiejun Huang +1
Learning to cooperate is crucially important in multi-agent environments. The key is to understand the mutual interplay between agents. However, multi-agent environments are highly…
cs.AI2018★ 303 cited
Learning Attentional Communication for Multi-Agent Cooperation
Jiechuan Jiang, Zongqing Lu
Communication could potentially be an effective way for multi-agent cooperation. However, information sharing among all agents or in predefined communication architectures that exi…