most citedTransformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.MA2022★ 2 cited

Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft

Muhammad Junaid Khan, Syed Hammad Ahmed, Gita Sukthankar

The StarCraft II Multi-Agent Challenge (SMAC) was created to be a challenging benchmark problem for cooperative multi-agent reinforcement learning (MARL). SMAC focuses exclusively…