授课教师：安波

国籍：中国

职称：讲席教授

教师简介（中英文）：

安波是新加坡南洋理工大学校长委员会讲席教授和南洋理工大学人工智能研究院联席院长。主要研究领域包括人工智能、多智能体系统、算法博弈论、强化学习、及优化。有150余篇论文发表在人工智能领域的国际顶级会议AAMAS、IJCAI、AAAI、ICAPS、KDD、UAI、EC、WWW、ICLR、NeurIPS、ICML、AISTATS以及著名学术期刊JAAMAS和AIJ。曾获2010 IFAAMAS杰出博士论文奖、2011年美国海岸警卫队的卓越运营奖、2012 AAMAS最佳应用论文奖、2016年IAAI创新应用论文奖，2020 DAI最佳论文奖，2012年美国运筹学和管理学研究协会(INFORMS)Daniel H. Wagner杰出运筹学应用奖， 2018年南洋青年研究奖、以及2022年南洋研究奖等荣誉。受邀在2017年IJCAI上做Early Career Spotlight talk。他曾获得2017年微软合作AI挑战赛的冠军。并曾入选2018年度IEEE Intelligent Systems的AI’s 10 to Watch。他是JAIR编委会成员以及AIJ、 JAAMAS、 IEEE Intelligent Systems、ACM TIST 和ACM TAAS的副主编。他是AAMAS’20的程序委员会主席和AAMAS’23会议主席。当选为国际智能体及多智能体系统协会理事会成员、AAAI高级会员及ACM杰出科学家。

Bo is the President's Council Chair Professor and Co-Director of the Institute of Artificial Intelligence at Nanyang Technological University, Singapore. His main research areas include artificial intelligence, multi-intelligent systems, algorithmic game theory, reinforcement learning, and optimization. He has published more than 150 papers in top international conferences in the field of artificial intelligence such as AAMAS, IJCAI, AAAI, ICAPS, KDD, UAI, EC, WWW, ICLR, NeurIPS, ICML, AISTATS, and the prestigious academic journals JAAMAS and AIJ. He was awarded the 2010 IFAAMAS Distinguished Ph, 2011 U.S. Coast Guard's Operational Excellence Award, 2012 AAMAS Best Application Paper Award, 2016 IAI Innovative Application Paper Award, 2020 DAI Best Paper Award, 2012 Daniel H. Wagner Award for Outstanding Application of Operations Research from the American Institute for Research in Operations Research and Management (INFORMS), 2018 Nanyang Young Research Award, the and the 2022 Nanyang Research Award, among other honors. He was invited to give an Early Career Spotlight talk at IJCAI 2017. he was the winner of the 2017 Microsoft Collaborative AI Challenge. And he was selected for the 2018 IEEE Intelligent Systems' AI's 10 to Watch. he is a member of the editorial board of JAIR and an associate editor of AIJ, JAAMAS, IEEE Intelligent Systems, ACM TIST and ACM TAAS. He is the program committee chair of AAMAS'20 and conference chair of AAMAS'23. He was elected to the Board of Directors of the International Association for Intelligent Bodies and Multi-Intelligent Systems, a senior member of AAAI, and an ACM Distinguished Scientist.

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课程简介（中英文）：

本课程旨在介绍人工智能的基础知识和算法，涵盖了人工智能的历史、发展、基础概念和最新进展。同时，本课程还深入探讨了智能体范式、搜索算法、马尔科夫决策过程、强化学习等算法的基础原理和实本程更进一步探讨深度强化学习和计算博弈论等高级话，并结合实践案例加以说明，帮助学生更好的理解和掌握相关算法和技术。通过实践案例的讲解和任务的设计，本课程旨在提高学生的动手能力和算法理解水平，为其未来从事人工智能相关职业打下坚实的基础。

This course aims to introduce the fundamentals of artificial intelligence and algorithms, covering the history, development, fundamental concepts and recent advances in artificial intelligence. At the same time, this course also discusses in depth the basic principles and real-life algorithms such as intelligent body paradigm, search algorithm, Markov decision process, reinforcement learning, etc. The course further discusses advanced words such as deep reinforcement learning and computational game theory, and illustrates them with practical cases to help students better understand and master the relevant algorithms and techniques. Through the practical cases and the design of tasks, this course aims to improve students' hands-on ability and algorithmic understanding, and lay a solid foundation for their future careers in artificial intelligence.

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