基本信息
浏览量:413
职业迁徙
个人简介
I worked in the field of robotic and multi-agent system during my school period, especially in localization, mapping, navigation, path planing and etc. Currently, I am leading the reinforcement learning (RL) research in Fuxi AI Lab@Netease, mostly focusing on deep reinforcement learning and Game AI, including the following topics:
High-efficient, transferable, explainable deep reinforcement learning
Distirbuted reinforcement learning framework
Multi-agent learning
Imitation learning
Population-based reinforcement learning
Game oriented applications of reinforcement learning
High-efficient, transferable, explainable deep reinforcement learning
Distirbuted reinforcement learning framework
Multi-agent learning
Imitation learning
Population-based reinforcement learning
Game oriented applications of reinforcement learning
研究兴趣
论文共 72 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
arXiv (Cornell University) (2023)
Autonomous Agents and Multi-Agent Systemsno. 2 (2023): 1-37
Lingdong Kong,Yaru Niu, Shaoyuan Xie,Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau,Ding Zhao,Liangjun Zhang,Hesheng Wang,Wei Tsang Ooi,Ruijie Zhu,Ziyang Song,
CoRR (2023)
ICSEpp.1393-1404, (2023)
引用0浏览0EIWOS引用
0
0
2023 IEEE 35TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, ICTAIpp.708-716, (2023)
2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRApp.2752-2758, (2023)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn