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most citedContrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

36 citations · 38 across the 5 of their papers we have counts for

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cs.LG2022★ 1 cited

A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning

Xueguang Lyu, Andrea Baisero, Yuchen Xiao +1

Centralized Training for Decentralized Execution, where training is done in a centralized offline fashion, has become a popular solution paradigm in Multi-Agent Reinforcement Learn…