Update README.md

README.md

@@ -5,11 +5,14 @@ A Multi-armed bandits learning group lasting four weeks
 * Shunan Jiang ([email protected])
 * Yufeng Zheng (Hector) ([email protected])
 * Mo Liu ([email protected])
-* Hansheng Jiang ([email protected])
+* Hannah Jiang ([email protected])
 
 # Textbook
 Aleksandrs Slivkins (2019), "Introduction to Multi-Armed Bandits", Foundations and Trends® in Machine Learning: Vol. 12: No. 1-2, pp 1-286. http://dx.doi.org/10.1561/2200000068
 
+# References
+  * [(UW) CSE 599, Spring 2019, Reinforcement Learning and Bandits](https://courses.cs.washington.edu/courses/cse599m/19sp/)
+
 # Location 
 Zoom: https://berkeley.zoom.us/j/97478740713
 
@@ -20,15 +23,15 @@ Zoom: https://berkeley.zoom.us/j/97478740713
 * ~~June 22 19:30 PST, Shunan Jiang, Lipschitz Bandits~~
 * ~~June 24 19:30 PST, Yufeng Zheng, Full Feedback and Adversarial Costs~~
 * ~~June 26 19:30 PST, Hansheng Jiang, Adversarial Bandits~~
-* June 29 19:30 PST, Mo Liu, Linear Costs and Semi-bandits
-* July 1 19:30 PST, Shunan Jiang, Contextual Bandits
+* ~~June 29 19:30 PST, Mo Liu, Linear Costs and Semi-bandits~~
+* ~~July 1 19:30 PST, Guanghao Ye, Contextual Bandits~~
 * July 3 19:30 PST, Yufeng Zheng, Bandits and Games
 * July 6 19:30 PST, Mo Liu, Bandits with Knapsacks
 * July 8 19:30 PST, Shunan Jiang, Bandits and Incentives
 
 
 # Comments
-Feel free to join us on Zoom. If you're willing to contribute or have any comments, send us an email. 
+Please feel free to join us on Zoom. If you're willing to contribute or have any comments, send us an email.