TY - GEN

T1 - Breaking the curse of many agents

T2 - 37th International Conference on Machine Learning, ICML 2020

AU - Wang, Lingxiao

AU - Yang, Zhuoran

AU - Wang, Zhaoran

N1 - Publisher Copyright:
© 2020 by the Authors.

PY - 2020

Y1 - 2020

N2 - Multi-Agent reinforcement learning (MARL) achieves significant empirical successes. However, MARL suffers from the curse of many agents. In this paper, we exploit the symmetry of agents in MARL. In the most generic form, we study a mean-field MARL problem. Such a mean-field MARL is defined on mean-field states, which are distributions that are supported on continuous space. Based on the mean embedding of the distributions, we propose MF-FQI algorithm, which solves the mean-field MARL and establishes a non-Asymptotic analysis for MF-FQI algorithm. We highlight that MF-FQI algorithm enjoys a "blessing of many agents" property in the sense that a larger number of observed agents improves the performance of MF-FQI algorithm.

AB - Multi-Agent reinforcement learning (MARL) achieves significant empirical successes. However, MARL suffers from the curse of many agents. In this paper, we exploit the symmetry of agents in MARL. In the most generic form, we study a mean-field MARL problem. Such a mean-field MARL is defined on mean-field states, which are distributions that are supported on continuous space. Based on the mean embedding of the distributions, we propose MF-FQI algorithm, which solves the mean-field MARL and establishes a non-Asymptotic analysis for MF-FQI algorithm. We highlight that MF-FQI algorithm enjoys a "blessing of many agents" property in the sense that a larger number of observed agents improves the performance of MF-FQI algorithm.

UR - http://www.scopus.com/inward/record.url?scp=85105316928&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85105316928&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85105316928

T3 - 37th International Conference on Machine Learning, ICML 2020

SP - 10034

EP - 10045

BT - 37th International Conference on Machine Learning, ICML 2020

A2 - Daume, Hal

A2 - Singh, Aarti

PB - International Machine Learning Society (IMLS)

Y2 - 13 July 2020 through 18 July 2020

ER -