Revision as of 17:44, 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
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 13: / Line 13: @@
 |Feb 15 (example)||Ri Wang || ||Sequence to sequence learning with neural networks.||[http://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf Paper] || [http://wikicoursenote.com/wiki/Stat946f15/Sequence_to_sequence_learning_with_neural_networks#Long_Short-Term_Memory_Recurrent_Neural_Network Summary]
 |-
-|Oct 25 || Jia Chen || 1|| On the Convergence of Adam and Beyond ||   ||
+|Oct 25 ||  || 1||  ||   ||
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 |Oct 25 ||   || 2||  ||   ||
@@ Line 25: / Line 25: @@
 |NOv 13 || Sagar Rajendran  || 1|| Zero-Shot Visual Imitation || [https://openreview.net/pdf?id=BkisuzWRW Paper] ||
 |-
-|Nov 13 ||   || 2||  ||   ||
+|Nov 13 || Jiazhen Chen  || 2||  ||   ||
 |-
-|NOv 15 ||   || 3||  ||   ||
+|NOv 15 ||  Zheng Ma || 3||  ||   ||
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 |Nov 15 || Abdul Khader Naik  || 4||  ||   ||