教育背景：
2008-2012阜阳师范大学，计算机科学与技术学士
2013-2016昆明理工大学，软件工程硕士
2017-2022上海大学，计算机应用技术博士
职业经历：
2012-2013南京睿辰欣创网络科技有限公司，研发
2016-2017上海明匠智能系统有限公司，研发
研究方向：
强化学习，多智能体强化学习，智能决策
参与项目：
1）国家自然科学基金重大项目；项目名称：复杂海况典型无人艇集群应用验证平台研究；项目编号：61991415。
2）上海市2020年度科技创新行为计划；项目名称：融合知识的无人艇自主行
为决策方法；项目编号：20YF1413800。
科研成果：
[1]Wang W,Luo X, Li Y, et al. Unmanned surface vessel obstacle avoidance with prior knowledgebased reward shaping[J]. Concurrency and Computation: Practice and Experience, 2021. (SCI 期刊)
[2]Wang W, Zhang H, LiY, et al. USVsSim: Ageneral simulation platformfor unmanned surface vessels autonomous learning[J]. Concurrency and Computation: Practice and Experience, 2022. (SCI 期刊)
[3]Wang W,Li Y, Luo X, et al. Ocean image data augmentation in the USV virtual training scene[J]. Big Earth Data, 2020, 4(4): 451-463. (EI 期刊)
[4]WangW, Xiangfeng Luo. Autonomous docking of the USV using Deep Reinforcement learning combine with observation enhanced, 2021 IEEE international Conference on Advances in Electrical Engineering and Computer Applications(AAEECA). (EI 会议)
[5] Li Y, Wang X,Wang W, et al. Learning adversarial policy in multiple scenes environment via multi-agent reinforcement learning[J]. Connection Science, 2021, 33(3): 407-426.(SCI期刊)
[6] Wang J, Wang X, Luo X,Wang Wet al. SEM: Adaptive Staged Experience Access Mechanism for Reinforcement Learning[C]//2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2020: 1088-1095. (EI 会议)
[7] Zhang Z, Luo X, Liu T,Wang Wet al. Proximal policy optimization with mixed distributed training[C]//2019 IEEE 31st international conference on tools with artificial intelligence (ICTAI). IEEE, 2019: 1452-1456. (EI 会议)