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|Nov 1 ||  Sriram Ganapathi Subramanian || 1|| Mean Field Multi-Agent Reinforcement Learning || [http://proceedings.mlr.press/v80/yang18d.html Paper] ||  
|Nov 1 ||  Sriram Ganapathi Subramanian || 1|| Mean Field Multi-Agent Reinforcement Learning || [http://proceedings.mlr.press/v80/yang18d.html Paper] ||  
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|Nov 1 ||  Jacob Manuel || 2 ||  ||  ||
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|NOv 13 || Sagar Rajendran  || 1|| Zero-Shot Visual Imitation || [https://openreview.net/pdf?id=BkisuzWRW Paper] ||  
|NOv 13 || Sagar Rajendran  || 1|| Zero-Shot Visual Imitation || [https://openreview.net/pdf?id=BkisuzWRW Paper] ||  

Revision as of 10:11, 3 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 Henry Chen 2
Oct 25 3
Oct 30 Manpreet Singh Minhas 1
Nov 1 Sriram Ganapathi Subramanian 1 Mean Field Multi-Agent Reinforcement Learning Paper
Nov 1 Jacob Manuel 2
NOv 13 Sagar Rajendran 1 Zero-Shot Visual Imitation Paper
Nov 13 Jiazhen Chen 2
NOv 15 Zheng Ma 3 Reinforcement Learning of Theorem Proving Paper
Nov 15 Abdul Khader Naik 4
NOv 20 Zahra Rezapour Siahgourabi 19
Nov 20 Shubham Koundinya 6
NOv 22 Soroush Ameli 22
Nov 22 Ivan Li 23
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 Travis Bender 12