Dear colleagues,
The ARL Seminar is excited to welcome *Yuxi Li*, the author of the 150 pages "Deep Reinforcement Learning: An Overview" to talk about "Reinforcement Learning Applications" and welcome *Lihang Ying*, president of Alberta AI Association, to lead the discussion.
Yuxi Li, author of the 150 pages Deep Reinforcement Learning: An Overview, at
https://bit.ly/2AidXm1, is writing a book about reinforcement learning applications. He is the lead guest editor for a Machine Learning Special Issue, the lead co-chairs for an ICML 2019 Workshop and a 2020 virtual workshop, all on reinforcement learning for real life. He was a co-organizer for AI Frontiers Conference in Silicon Valley in 2017 and 2018. He has published refereed papers at venues such as NIPS, AISTATS, and INFOCOM. He serves as TPC Members/reviewers for conferences and journals, like AAAI 2019-2021, ACM Computing Surveys, TKDD, and PLOS ONE. He obtained the PhD in computer science from the University of Alberta and was a postdoc there. He was an associate professor in China and a senior data scientist in the US. He founded attain.ai in Canada.
The seminar will be on *Thursday, January 28th, 2021 5:00 PM PT / 7:00 PM CT / 8:00 PM ET / Friday, January 29th, 9:00 AM Beijing*. Details about the talk can be found on our website <https://arlseminar.com>.
You can get access to the seminar by YouTube Live in the USA or Bilibili Live in China.
YouTube Live Channel:
https://www.youtube.com/channel/UCYtw_0jwqtNW0-6NFsPY9BA/liveBilibili Live:
https://live.bilibili.com/22533038If you are interested in getting updates of our seminar's events in the future, you can register on our website <https://www.arlseminar.com/registration-form/>. We will notify you of the new event at the first time.
We look forward to seeing you.
Best,
ARL Seminar
*Title: Reinforcement Learning Applications
*Abstract: What is the most exciting AI news in recent years? AlphaGo! What are key techniques for AlphaGo? Deep learning and reinforcement learning (RL)? What are application areas for RL? A lot! In fact, besides games, RL has been making tremendous achievements in diverse areas like recommenders and robotics. In this talk, we will introduce RL briefly, present several RL applications, and discuss issues for successfully applying RL in real life scenarios.
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Zhiwei Qin
Principal Research Scientist, Director of AI Research
DiDi Labs
Mountain View CA
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