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Challenges and Solutions in DeepFakes



Jatin Sharma , Sahil Sharma

* Paper has a lot of mistakes and is not good enough according to the technical standards a research paper should have 

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A Comprehensive Review on Summarizing Financial News Using Deep Learning



Saurabh Kamal , Sahil Sharma

* 48 Figures, 9 Tables, and 28 Pages. The Paper is under review in an SCI Journal 

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WAD: A Deep Reinforcement Learning Agent for Urban Autonomous Driving



Arjit Sharma , Sahil Sharma

* 10 pages, 8 figures, and 4 tables 

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Content Based Image Retrieval from AWiFS Images Repository of IRS Resourcesat-2 Satellite Based on Water Bodies and Burnt Areas



Suraj Kothawade , Kunjan Mhaske , Sahil Sharma , Furkhan Shaikh


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Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning



Sahil Sharma , Girish Raguvir J , Srivatsan Ramesh , Balaraman Ravindran

* 10 pages + 9 page appendix 

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Learning to Multi-Task by Active Sampling



Sahil Sharma , Ashutosh Jha , Parikshit Hegde , Balaraman Ravindran

* 11 pages + 30 page appendix 

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Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning



Sahil Sharma , Aravind Suresh , Rahul Ramesh , Balaraman Ravindran

* 11 pages + 7 pages appendix 

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Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning



Sahil Sharma , Aravind S. Lakshminarayanan , Balaraman Ravindran

* 24 pages 

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Performance Based Evaluation of Various Machine Learning Classification Techniques for Chronic Kidney Disease Diagnosis



Sahil Sharma , Vinod Sharma , Atul Sharma

* International Journal of Modern Computer Science, Vol.4, Issue3, June 2016, pp.11-16 
* 6 pages, 4 figures, 2 tables 

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