Open AccessDecentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning
Author(s) -
Songtao Lu,
Kaiqing Zhang,
Tianyi Chen,
Tamer Başar,
Lior Horesh
Publication year - 2021
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.v35i10.17062
Subject(s) - reinforcement learning , computer science , convergence (economics) , mathematical optimization , markov decision process , gradient descent , decentralised system , minimax , distributed computing , markov process , artificial neural network , artificial intelligence , control (management) , mathematics , statistics , economics , economic growth
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