Nov 2019
18 Mon
19 Tue
20 Wed
21 Thu
22 Fri
23 Sat 08:30 AM – 05:30 PM IST
24 Sun
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Accepting submissions till 01 Nov 2019, 04:20 PM
##About the 2019 edition:
The schedule for the 2019 edition is published here: https://hasgeek.com/anthillinside/2019/schedule
The conference has three tracks:
#Who should attend Anthill Inside:
Anthill Inside is a platform for:
For inquiries about tickets and sponsorships, call Anthill Inside on 7676332020 or write to sales@hasgeek.com
#Sponsors:
Sponsorship slots for Anthill Inside 2019 are open. Click here to view the sponsorship deck.
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Suraj Sheth
@shethsh
Submitted Apr 29, 2019
We see quite a lot of excitement around Reinforcement Learning (RL) in industry and academia. We regularly see new industrial applications both inside and outside of Amazon. We also see RL papers dominating many ML conferences such as NeurIPS and ICML. RL is promising for multiple reasons that include a better formulation of the problem which allows for optimization of multi-step decision making process and its ability to learn strategies for unseen, dynamic scenarios. RL has gained traction in recent years with the use of deep neural networks to accomplish astonishing results in applications such as games, robotics, recommendations and operations research problems. We propose this workshop to bring people together to share ideas, increase awareness and build a community around RL.
The workshop is designed to give an overview of RL and dive deep into some of the state-of-the-art techniques in RL.
Reinforcement Learning:
Laptop with Python installed/Cloud host
Suraj is a Senior Machine Learning Scientist working on a variety of Machine Learning problems at Amazon. Prior to this, he has worked at IBM Research(IRL) and Adobe. His areas of work include Natural Language Processing, Deep Recurrent Networks, CNNs for text, Reinforcement Learning, and Generative Models. Suraj has more than 8 years of industry experience in the field of Machine Learning, NLP, Deep Learning and Reinforcement Learning. He has presented papers/posters in AMLC for last three years, delivered talks/tutorials at GHCI, AITC and others. He has three USPTO approved patents. He has conducted Reinforcement Learning workshops at several occasions including Amazon SMML Workshop 2018. He is organizing “Reinforcement Learning” workshop at Amazon Machine Learning Conference 2019.
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