most citedRethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

35 citations · 35 across the 1 of their papers we have counts for

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1 paper

cs.LG2021★ 35 cited

Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

Jian Hu, Siyang Jiang, Seth Austin Harding +2

Many complex multi-agent systems such as robot swarms control and autonomous vehicle coordination can be modeled as Multi-Agent Reinforcement Learning (MARL) tasks. QMIX, a widely…