Anthill Inside For members

Anthill Inside 2019

A conference on AI and Deep Learning

Make a submission

Accepting submissions till 01 Nov 2019, 04:20 PM

Taj M G Road, Bangalore, Bangalore

Tickets

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##About the 2019 edition:

The schedule for the 2019 edition is published here: https://hasgeek.com/anthillinside/2019/schedule

The conference has three tracks:

  1. Talks in the main conference hall track
  2. Poster sessions featuring novel ideas and projects in the poster session track
  3. Birds of Feather (BOF) sessions for practitioners who want to use the Anthill Inside forum to discuss:
  • Myths and realities of labelling datasets for Deep Learning.
  • Practical experience with using Knowledge Graphs for different use cases.
  • Interpretability and its application in different contexts; challenges with GDPR and intepreting datasets.
  • Pros and cons of using custom and open source tooling for AI/DL/ML.

#Who should attend Anthill Inside:

Anthill Inside is a platform for:

  1. Data scientists
  2. AI, DL and ML engineers
  3. Cloud providers
  4. Companies which make tooling for AI, ML and Deep Learning
  5. Companies working with NLP and Computer Vision who want to share their work and learnings with the community

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.


Anthill Inside 2019 sponsors:


#Bronze Sponsor

iMerit Impetus

#Community Sponsor

GO-JEK iPropal
LightSpeed Semantics3
Google Tact.AI
Amex

Hosted by

Anthill Inside is a forum for conversations about Artificial Intelligence and Deep Learning, including: Tools Techniques Approaches for integrating AI and Deep Learning in products and businesses. Engineering for AI. more

Suraj Sheth

@shethsh

Reinforcement Learning

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.

Outline

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:

  1. Introduction
  2. Definitions and Problem Statement
  3. Classical Approaches
  4. Evolutionary Algorithms
  5. Temporal Differences
  6. Q-Learning
  7. Exploration and Exploitation
  8. Evaluating Reinforcement Learning Algorithms
  9. On-Policy Learning
  10. Assigning Credit and Blame to Paths
  11. Model-Based Methods
  12. Reinforcement Learning with Features
  13. Deep Reinforcement Learning
  14. Atari Games, Self-Driving and other applications

Requirements

Laptop with Python installed/Cloud host

Speaker bio

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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Make a submission

Accepting submissions till 01 Nov 2019, 04:20 PM

Taj M G Road, Bangalore, Bangalore

Hosted by

Anthill Inside is a forum for conversations about Artificial Intelligence and Deep Learning, including: Tools Techniques Approaches for integrating AI and Deep Learning in products and businesses. Engineering for AI. more