SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning

MLA

Zhang, Qin, et al. SaFormer: A Conditional Sequence Modeling Approach to Offline Safe 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.2301.12203&authtype=sso&custid=ns315887.

APA

Zhang, Q., Zhang, L., Xu, H., Shen, L., Wang, B., Chang, Y., Wang, X., Yuan, B., & Tao, D. (2023). SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning.

Chicago

Zhang, Qin, Linrui Zhang, Haoran Xu, Li Shen, Bowen Wang, Yongzhe Chang, Xueqian Wang, Bo Yuan, and Dacheng Tao. 2023. “SaFormer: A Conditional Sequence Modeling Approach to Offline Safe 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.2301.12203&authtype=sso&custid=ns315887.