veyepar: An Introduction to Reinforcement Learning

Author(s):	Jessica Forde
Location	Room CR4
Date	jul Sun 17	Days Raw Files
Start	12:15	First Raw Start	11:56
Duration	00:25:00	Offset	0:18:18
End	12:40	Last Raw End	12:56
Chapters	00:00 0:11:24 0:24:52 0:25:01
Total cuts_time	25 min.

https://2016.pygotham.org/talks/345/an-introduction-to-reinforcement-learning
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Description:	Reinforcement learning is a subfield of machine learning focused on discovering ‘optimal policies’: robust strategies to achieve a desired objective under varying states of the world. In this talk, we will provide an overview of terminology in reinforcement learning and sample Python programs for basic algorithms to learn policies. We will also discuss the state of the art in reinforcement learning and the ways in which reinforcement learning can be applied to real world problems. markdown
Comment:	delay=0.250 Could you start at 00:00:49 and end at 00:25:40? production notes

2016-07-17/11_56_42.ts Apply: 11:56:42 - 12:05:02 ( 00:08:20 ) S: 11:56:42 - E: 12:26:42 D: 00:30:00 (End: 500.0) show more...

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2016-07-17/11_56_42.ts Apply: 12:15:18 - 12:26:42 ( 00:11:24 ) S: 11:56:42 - E: 12:26:42 D: 00:30:00 (Start: 1116) show more... >>> 1067 + 49 1116

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2016-07-17/12_26_42.ts Apply: 12:44:54 - 12:45:04 ( 00:00:09 ) S: 12:26:42 - E: 12:56:41 D: 00:29:59 (Start: 1092.725915) (End: 1102.520416) show more...

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2016-07-17/12_26_42.ts Apply: 12:45:00 - 12:45:02 ( 00:00:02 ) S: 12:26:42 - E: 12:56:41 D: 00:29:59 (Start: 1098.0) (End: 1100.0) show more...

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2016-07-17/12_26_42.ts Apply: 12:45:02 - 12:56:41 ( 00:11:39 ) S: 12:26:42 - E: 12:56:41 D: 00:29:59 (Start: 1100.0) show more...

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