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Xueguang Lyu

2 accepted papers

2022

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

AAAI 2022technical

Centralized Training for Decentralized Execution, where training is done in a centralized offline fashion, has become a popular solution paradigm in Multi-Agent Reinforcement Learning. Many such methods take the form of actor-critic with state-based critics, since centralized training allows access…