基本信息
浏览量:139
职业迁徙
个人简介
Michail G. Lagoudakis was born in 1972 in Irakleio, Crete in Greece.
In 1990, he enrolled in the Department of Computer Engineering and Informatics at the University of Patras in Greece. He completed the five years program constantly ranking in the top 10 of his class (a total of 120) and he was awarded a scholarship by the National Scholarship Foundation of the Greek Ministry of Education. His diploma thesis, entitled Implementation of a Knowledge-Based Scheduler for Job-Shop Production Environments (coauthored with his colleague Nikolaos Parlavantzas), was supervised by Prof. Paul Spirakis. This work was part of the larger European ESPRIT CIM Project at the University of Patras. He graduated in July, 1995 and received the Diploma of Computer and Informatics Engineer with a grade "Excellent" (8.67/10.00) ranking 10th among his class. During his military service he served for five months as the Database Administrator for the Artillery Training Center in Greece.
In August 1996 he enrolled in the graduate program of the Center for Advanced Computer Studies at the University of Louisiana, Lafayette. At the same time he was awarded a graduate scholarship from the Lilian-Boudouri Foundation in Greece. He graduated with the M.Sc. degree in Computer Science in May 1998, and during the course of study he was honored twice by the USL Honors Program. His M.Sc. thesis, entitled Mobile Robot Local Navigation with a Polar Neural Map, was completed under the supervision of Prof. Anthony S. Maida and was used for sonar-based navigation of a Nomad 200 mobile robot at the Robotics and Automation Laboratory directed by Prof. Kimon Valavanis.
In August 1998, he enrolled as a graduate student in the Department of Computer Science at Duke University. He received a graduate student scholaship from Duke University and the Outstanding Teachning Assistant Award twice. His Ph.D. research was supervised initially by Prof. Michael Littman and later by Prof. Ronald Parr. His dissertation, entitled Efficient Approximate Policy Iteration Methods for Sequential Decision Making in Reinforcement Learning, proposed two new efficient algorithms for the problem of sequential decision making with extensions to multiagent and/or competitive domains. His dissertation received the departmental Outstanding Disseration Award for the academic year 2002-2003.
His research interests fall in Numeric Artificial Intelligence. More particularly he is interested in machine learning, especially reinforcement learning, Markov decision processes and optimal control. He also maintains a strong interest in artificial and biological neural systems with focus on sensory-motor control.
He is a member of the American Association for Artificial Intelligence (AAAI), the Institute of Electrical and Electronics Engineers (IEEE), and the Association for Computing Machinery (ACM).
研究兴趣
论文共 102 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
Volkmar Kircher, Susanne Feiel, Jan C. Bongaerts,Julia Sishchuk, Carsten Drebenstedt,Michail Lagoudakis, Konstantina Fragkedaki,Paula García-Llamas,Adriana Suárez-Corona,María Fernández-Raga,Roberto Baelo-Álvarez,Marcin Górski,
BHM Berg- und Hüttenmännische Monatshefteno. 10 (2022): 462-471
Encyclopedia of Machine Learningpp.1311-1323, (2017)
Encyclopedia of Machine Learningpp.738-744, (2017)
Lecture Notes in Computer Science (2015): 636-648
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