| Title | Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Towards Asynchronous Commercial Games |
| Author | |
| Publication Years | 2022
|
| DOI | |
| Source Title | |
| ISSN | 2475-1510
|
| Volume | PPIssue:99Pages:1-14 |
| Keywords | |
| URL | [Source Record] |
| SUSTech Authorship | First
|
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9897069 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Journal Article |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/406117 |
| Department | Department of Computer Science and Engineering |
| Affiliation | 1.Guangdong Key Laboratory of Brain-Inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China 2.NetEase Games AI Lab, Guangzhou, China |
| First Author Affilication | Department of Computer Science and Engineering |
| First Author's First Affilication | Department of Computer Science and Engineering |
| Recommended Citation GB/T 7714 |
Hui Bai,Ruimin Shen,Yue Lin,et al. Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Towards Asynchronous Commercial Games[J]. IEEE Transactions on Games,2022,PP(99):1-14.
|
| APA |
Hui Bai,Ruimin Shen,Yue Lin,Botian Xu,&Ran Cheng.(2022).Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Towards Asynchronous Commercial Games.IEEE Transactions on Games,PP(99),1-14.
|
| MLA |
Hui Bai,et al."Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Towards Asynchronous Commercial Games".IEEE Transactions on Games PP.99(2022):1-14.
|
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment