most citedHeterogeneous Graph Attention Networks for Learning Diverse Communication

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.MA2021★ 4 cited

Heterogeneous Graph Attention Networks for Learning Diverse Communication

Esmaeil Seraj, Zheyuan Wang, Rohan Paleja +3

Multi-agent teaming achieves better performance when there is communication among participating agents allowing them to coordinate their actions for maximizing shared utility. Howe…