Open AccessA Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning
Author(s) -
Xueguang Lyu,
Andrea Baisero,
Yuchen Xiao,
Christopher Amato
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i9.21171
Subject(s) - reinforcement learning , computer science , intuition , variance (accounting) , state (computer science) , artificial intelligence , range (aeronautics) , machine learning , cognitive science , algorithm , psychology , economics , engineering , accounting , aerospace engineering
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