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|Nov 27 ||Xinyue Zhang  || 10|| A Distributional Perspective on Reinforcement Learning || [http://proceedings.mlr.press/v70/bellemare17a/bellemare17a.pdf Paper] ||  
|Nov 27 ||Xinyue Zhang  || 10|| A Distributional Perspective on Reinforcement Learning || [http://proceedings.mlr.press/v70/bellemare17a/bellemare17a.pdf Paper] ||  
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|NOv 29 ||  || 11||  ||  ||  
|NOv 29 ||Junyi Zhang   || 11||  ||  ||  
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|Nov 29 ||  || 12||  ||  ||
|Nov 29 ||  || 12||  ||  ||

Revision as of 14:24, 2 October 2018

Paper presentation

Date Name Paper number Title Link to the paper Link to the summary
Feb 15 (example) Ri Wang Sequence to sequence learning with neural networks. Paper Summary
Oct 25 1
Oct 25 2
Oct 25 3
Oct 30 Manpreet Singh Minhas 1
Nov 1 Sriram Ganapathi Subramanian 1 Mean Field Multi-Agent Reinforcement Learning Paper
NOv 13 Sagar Rajendran 1 Zero-Shot Visual Imitation Paper
Nov 13 2
NOv 15 3
Nov 15 Abdul Khader Naik 4
NOv 20 Zahra Rezapour Siahgourabi 19
Nov 20 Shubham Koundinya 6
NOv 22 Soroush Ameli 22
Nov 27 Aileen Li 8 Visual Interaction Networks: Learning a Physics Simulator from Video Paper
NOv 27 Xudong Peng 9
Nov 27 Xinyue Zhang 10 A Distributional Perspective on Reinforcement Learning Paper
NOv 29 Junyi Zhang 11
Nov 29 12