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Q-Learning Algorithm for Mean-Field Controls, with Convergence and Complexity Analysis (ICML 2020 Workshop)
Jul 14, 2020
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Haotian Gu
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Multi-agent Reinforcement Learning
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Theoretical Foundations of Reinforcement Learning Paper: Q-Learning Algorithm for Mean-Field Controls, with Convergence and Complexity Analysis Author: Haotian Gu (UC Berkeley), Xin Guo (UC Berkeley), Xiaoli Wei (UC Berkeley), Renyuan Xu (Oxford) Link:
https://arxiv.org/pdf/2002.04131.pdf
Category: ICML 2020
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