%0 Journal Article %1 journals/tciaig/BaiSLXC24 %A Bai, Hui %A Shen, Ruimin %A Lin, Yue %A Xu, Botian %A Cheng, Ran %D 2024 %J IEEE Trans. Games %K dblp %N 1 %P 51-63 %T Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Toward Asynchronous Commercial Games. %U http://dblp.uni-trier.de/db/journals/tciaig/tciaig16.html#BaiSLXC24 %V 16

@article{journals/tciaig/BaiSLXC24, added-at = {2024-04-15T00:00:00.000+0200}, author = {Bai, Hui and Shen, Ruimin and Lin, Yue and Xu, Botian and Cheng, Ran}, biburl = {https://www.bibsonomy.org/bibtex/266c3ab76e187be6872e3ec751c532316/dblp}, ee = {https://doi.org/10.1109/TG.2022.3208324}, interhash = {2b48eeae1e989f33933b1f59e8550f2f}, intrahash = {66c3ab76e187be6872e3ec751c532316}, journal = {IEEE Trans. Games}, keywords = {dblp}, month = {March}, number = 1, pages = {51-63}, timestamp = {2024-04-22T07:08:33.000+0200}, title = {Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Toward Asynchronous Commercial Games.}, url = {http://dblp.uni-trier.de/db/journals/tciaig/tciaig16.html#BaiSLXC24}, volume = 16, year = 2024 }