%0 Journal Article %1 journals/asc/LuoT24 %A Luo, Qian %A Tan, Tien-Ping %D 2024 %J Appl. Soft Comput. %K dblp %P 111545 %T Improved learning efficiency of deep Monte-Carlo for complex imperfect-information card games. %U http://dblp.uni-trier.de/db/journals/asc/asc158.html#LuoT24 %V 158

@article{journals/asc/LuoT24, added-at = {2024-05-31T00:00:00.000+0200}, author = {Luo, Qian and Tan, Tien-Ping}, biburl = {https://www.bibsonomy.org/bibtex/28fbe71e2980816fbe5b4525bc989edaf/dblp}, ee = {https://doi.org/10.1016/j.asoc.2024.111545}, interhash = {a2cdc4c651f1e419f5e6a2f375f36760}, intrahash = {8fbe71e2980816fbe5b4525bc989edaf}, journal = {Appl. Soft Comput.}, keywords = {dblp}, pages = 111545, timestamp = {2024-06-03T07:11:12.000+0200}, title = {Improved learning efficiency of deep Monte-Carlo for complex imperfect-information card games.}, url = {http://dblp.uni-trier.de/db/journals/asc/asc158.html#LuoT24}, volume = 158, year = 2024 }