ARLSeminar

We aim to bring you a virtual seminar featuring the latest work in applying reinforcement learning methods in many areas(e.g., health science, two-sided market)

[ARLSeminar @ArlSeminar]

This time, the ARL Seminar is excited to welcome *Dr. Keith Ross* from NYU Shanghai to talk about “Recent Advances in Sample Efficient DRL”. Tony Qin will be the discussant. Thursday, April 29th, 9:00 PM ET / Friday, April 30th, 9:00 AM Beijing*.
https://t.co/jcUCktHt3r

[ARLSeminar @ArlSeminar]

ARL Seminar is excited to welcome *Dr. Wenbin Lu* from NCSU to talk about “Jump Q-Learning for Optimal Interval-Values Treatment Decision Rule” and *Dr. Guanhua Chen* from UWM to be the discussion leader on Thursday, April 1st, 9:00 PM ET.

[ARLSeminar @ArlSeminar]

IJCAI 2021 Reinforcement Learning for Intelligent Transportation Systems (RL4ITS) Workshop Call For Papers!
Submission due: May 4, 2021 (23:59 Pacific Time)
https://t.co/vc1pYCmtNH

[Tony Z Qin @TonyZQin]

We are organizing the RL for Intelligent Transportation Systems Workshop (with @duckietown_coo, @RuiSong70142774, and @hongtuzhu1), to be held at IJCAI 2021 in Montreal, Canada. The Call-for-Papers is available here: https://t.co/gYteZobYrp. All relevant submissions welcome!

[ARLSeminar @ArlSeminar]

ARL Seminar is excited to welcome Dr. Shuo Li and his student Dong Zhang from Western University, Canada to talk about “Deep reinforcement learning in medical object detection and segmentation”. The seminar will be on Thursday, March 18th, 8:30 PM ET. Look forward to seeing you!

[ARLSeminar @ArlSeminar]

More information can be found on https://t.co/V42GGz6M6Q

[ARLSeminar @ArlSeminar]

ARL Seminar is excited to welcome Yuxi Li to talk about “Reinforcement Learning Applications” and welcome Lihang Ying, president of Alberta AI Association, to lead the discussion. The seminar will be on Thursday, January 28th at 8:00pm ET. Look forward to seeing you.

[ARLSeminar @ArlSeminar]

You can get access to the seminar by YouTube Live in the USA or Bilibili Live in China.
Zoom: https://t.co/A8u6Bf8aqB Password: ARLSeminar
YouTube Live Channel: https://t.co/yQ4Jy2Xuql
Bilibili Live: https://t.co/iraWgA1w9v

[ARLSeminar @ArlSeminar]

ARL Seminar is excited to welcome Dr. Yanhua Li from Worcester Polytechnic Institute to talk about “Decision Analysis from Human-Generated Spatial-Temporal Data” and welcome Haipeng Chen from Harvard University to lead the discussion. The seminar will be on Jan 14th 8:00 PM ET.

[ARLSeminar @ArlSeminar]

The recording of Liam Paull's talk is online now. Click on the link below: https://t.co/RZxLjP7LOK

[ARLSeminar @ArlSeminar]

This time, the ARL Seminar is excited to welcome Liam Paull from l'Universit�� de Montréal to talk about “Training Robotics in Simulators”. The seminar will be on *Wednesday, December 16th, 2020 5:00 PM PT / 7:00 PM CT / 8:00 PM ET / Thursday, December 17th, 9:00 AM Beijing*.

[ARLSeminar @ArlSeminar]

The recorded video of Nick Rhinehart's talk on December 3rd about “Jointly Forecasting and Controlling Behavior by Learning From High-Dimensional Data” has been uploaded to YouTube. The link is below: https://t.co/mZfC2xi6xK

[ARLSeminar @ArlSeminar]

The recorded video of Nathan Kallus's talk on Nov 19th about "Statistically Efficient Offline Reinforcement Learning" has been uploaded to YouTube. The link is below: https://t.co/aefbywR4eO

[ARLSeminar @ArlSeminar]

Our next event will be on December 3rd, 5:00PM PT / 8:00PM ET / December 4th, 9:00AM Beijing. This time, *Nick Rhinehart* from the University of California, Berkeley will give a talk about “Jointly Forecasting and Controlling Behavior by Learning From High-Dimensional Data”.

[ARLSeminar @ArlSeminar]

The next seminar will be on Thursday, November 19th, 2020 at 10:00 AM ET / 3:00 PM London / 11:00 PM Beijing. Nathan Kallus from Cornell University will give a talk on “Statistically Efficient Offline Reinforcement Learning”. Chengchun Shi from LSE will lead the discussion.

[ARLSeminar @ArlSeminar]

This time, the ARL Seminar is excited to welcome *Nathan Kallus* from Cornell University to talk about “Statistically Efficient Offline Reinforcement Learning” and welcome *Chengchun Shi* from London School of Economics and Political Science to lead the discussion.

[ARLSeminar @ArlSeminar]

Hi all, here is the video of Eric Laber's talk on Nov 5th, "Partially Observable Markov Decision Processes as a Model for Chronic Illness". https://t.co/jiw0Abgdea

[ARLSeminar @ArlSeminar]

Our next event will be on Thurs, Nov 5th, 2020 at 7:00AM PT/9:00AM CT/10:00AM ET. This time, the ARL Seminar is excited to welcome Eric Laber from NC State University to talk about his recent study “Partially observable Markov Decision Processes as a Model for Chronic Illness".

[ARLSeminar @ArlSeminar]

Hi all, here is the recorded video for Yansheng Wang and Fanyou Wu's talk. We will hold a new event in two weeks. More information will be posted later. Follow us for timely information! Let's get more knowledge on Reinforcement Learning together.
https://t.co/LWCJhdEcQ3

[ARLSeminar @ArlSeminar]

Hi all, our next seminar will be on Wednesday, Oct 21st, 2020 at 11:00 AM EST. This time, we are excited to welcome KDD Cup 2020 RL Track Winners Yansheng Wang and Fanyou Wu to present their champion solutions and some understandings of the application of reinforcement learning.