Revision as of 17:46, 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	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		12

@@ Line 27: / Line 27: @@
 |Nov 13 || Jiazhen Chen  || 2||  ||   ||
 |-
-|NOv 15 ||  Zheng Ma || 3||  ||   ||
+|NOv 15 ||  Zheng Ma || 3|| Reinforcement Learning of Theorem Proving  ||  [https://arxiv.org/abs/1805.07563 Paper] ||
 |-
 |Nov 15 || Abdul Khader Naik  || 4||  ||   ||