396 citations · 489 across the 14 of their papers we have counts for
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cs.AI2023★ 1 cited
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
Joseph Suárez, Phillip Isola, Kyoung Whan Choe +15
Neural MMO 2.0 is a massively multi-agent environment for reinforcement learning research. The key feature of this new version is a flexible task system that allows users to define…
cs.AI2022★ 4 cited
Multi-Agent Path Finding via Tree LSTM
Yuhao Jiang, Kunjie Zhang, Qimai Li +2
In recent years, Multi-Agent Path Finding (MAPF) has attracted attention from the fields of both Operations Research (OR) and Reinforcement Learning (RL). However, in the 2021 Flat…