Webinar on Introduction to Deep Reinforcement Learning by IBM [Sep 22, 4:00 PM]: Register by Sep 21: Expired

About IBM

International Business Machines Corporation is an American multinational technology company headquartered in Armonk, New York. It was founded in 1911 in Endicott, New York, as the Computing-Tabulating-Recording Company and was renamed “International Business Machines” in 1924.

About the Webinar

The Webinar on Introduction to Deep Reinforcement Learning is organised by IBM on Sep 22, 4:00 PM.
Reinforcement Learning (RL) is an area of Machine Learning, which deals with designing fully autonomous agents that learn by interacting with their environments. Recently deep neural network (DNN) based techniques have become popular due to their ability to automatically learn rich feature representations from data.
The use of DNNs within traditional reinforcement learning algorithms has accelerated progress in RL, given rise to the field of “Deep Reinforcement Learning” (DRL). Few of the success stories of DRL are achieving superhuman performance on “Atari Games” by just using the image pixels, beating the human world champion in the game of “Go”. In this talk, we will provide a gentle introduction to DRL and show how to train agents in OpenAI Gym environments.

About the Speaker

Dinesh Khandelwal is a Research Scientist at IBM India Research Lab.  He has a Ph.D. in Machine Learning from IIT Delhi.  His primary research interests lie in the area of Deep Learning, Probabilistic Graphical Models, and Question Answering. He also holds a Master’s degree in Machine Learning from IISc Bangalore. He has published in top venues for Computer Vision, Machine Learning, and NLP, including AAAI, ACL, CVIU, WACV, and PRL.

How to Register?

Interested participants can register for the webinar through this link.

Registration Deadline

Sep 21, 2020
For more details, click the link below.

Webinar on Introduction to Deep Reinforcement Learning by IBM


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