Why the ‘selfish’ optimizing agents could solve the decentralized reinforcement learning problems
DOI10.3233/AIC-180596zbMath1467.93018OpenAlexW2943073766MaRDI QIDQ5145451
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Publication date: 20 January 2021
Published in: AI Communications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3233/aic-180596
adaptive controlreinforcement learningmultidisciplinary design optimizationindividual discipline feasible
Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Linear systems in control theory (93C05) Decentralized systems (93A14) Multi-agent systems (93A16) Computational methods for problems pertaining to systems and control theory (93-08)
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