Cite
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning
MLA
Zhao, Yulai, et al. Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning. 2023. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2305.04819&authtype=sso&custid=ns315887.
APA
Zhao, Y., Yang, Z., Wang, Z., & Lee, J. D. (2023). Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning.
Chicago
Zhao, Yulai, Zhuoran Yang, Zhaoran Wang, and Jason D. Lee. 2023. “Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2305.04819&authtype=sso&custid=ns315887.