Lecture meeting about Reinforcement Learning by AWS
May 28 (Mon.)
National Institute of Informatics
Room 1210, 12th floor
1. Neural Machine Translation with Sockeye Encoder-Decoder with Attention
Seq2seq, Attention, Sockeye encoder-decoder
Demos on SageMaker
2. Deep Reinforcement Learning for Game Playing Agents
Deep Q-Network and its application in developing game-playing
agents Demos of game-playing agents on AWS
Cyrus Vahid has studies Mathematics, Computer Science, and Cognitive Science and Neural Networks in different universities, including
University of Toronto. He has been in the IT industry for over 20 years and has worked for companies such as AWS, Redhat, and Microsoft. Cyrus currently works as Principal Solutions Architect at AWS Deep Learning Team. Cyrus is also a public speaker and has delivered talks in a number of events. His current interest is in the area of Deep Reinforcement Learning.
Pedro Larroy has 15 years of experience in the software industry. Worked in embedded and big data in the core maps library that powered
localization services for Nokia, Microsoft, Bing and Facebook. In Amazon part of core ML team delivering Amper for hyper parameter tuning and now part of the deep learning team in AWS / Amazon AI.
Kento Aida < aida [at] nii.ac.jp >