Wang, Y.; Fu, K.; Chen, H.; Liu, Q.; Huang, J.; Zhang, Z.
Efficiently Detecting Non-Stationary Opponents: A Bayesian Policy Reuse Approach under Partial Observability. Appl. Sci. 2022, 12, 6953.
https://doi.org/10.3390/app12146953
AMA Style
Wang Y, Fu K, Chen H, Liu Q, Huang J, Zhang Z.
Efficiently Detecting Non-Stationary Opponents: A Bayesian Policy Reuse Approach under Partial Observability. Applied Sciences. 2022; 12(14):6953.
https://doi.org/10.3390/app12146953
Chicago/Turabian Style
Wang, Yu, Ke Fu, Hao Chen, Quan Liu, Jian Huang, and Zhongjie Zhang.
2022. "Efficiently Detecting Non-Stationary Opponents: A Bayesian Policy Reuse Approach under Partial Observability" Applied Sciences 12, no. 14: 6953.
https://doi.org/10.3390/app12146953
APA Style
Wang, Y., Fu, K., Chen, H., Liu, Q., Huang, J., & Zhang, Z.
(2022). Efficiently Detecting Non-Stationary Opponents: A Bayesian Policy Reuse Approach under Partial Observability. Applied Sciences, 12(14), 6953.
https://doi.org/10.3390/app12146953