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�？龅湫臀奕送Ъ河τ醚橹�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] Wang W, 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 W et 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 W et 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)