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Book Notes

Book reviews, chapter notes, and things I found interesting in the books I have read. Tuesday, July 6, 2010. I recently read the book Rework by Jason Fried and David Hansson. Here are some of my notes. Planning is guessing, "you have the most information when you're doing something, not before you've done it." - Page 19. To do great work, you need to feel that you're making a difference. That you're putting a meaningful dent in the universe. That you're part of something important." - Page 31. We make su...

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Book Notes | stephenkroppbooks.blogspot.com Reviews
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Book reviews, chapter notes, and things I found interesting in the books I have read. Tuesday, July 6, 2010. I recently read the book Rework by Jason Fried and David Hansson. Here are some of my notes. Planning is guessing, you have the most information when you're doing something, not before you've done it. - Page 19. To do great work, you need to feel that you're making a difference. That you're putting a meaningful dent in the universe. That you're part of something important. - Page 31. We make su...
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Book Notes | stephenkroppbooks.blogspot.com Reviews

https://stephenkroppbooks.blogspot.com

Book reviews, chapter notes, and things I found interesting in the books I have read. Tuesday, July 6, 2010. I recently read the book Rework by Jason Fried and David Hansson. Here are some of my notes. Planning is guessing, "you have the most information when you're doing something, not before you've done it." - Page 19. To do great work, you need to feel that you're making a difference. That you're putting a meaningful dent in the universe. That you're part of something important." - Page 31. We make su...

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1

Book Notes: Reinforcement Learning: An Introduction (Chapter 2)

http://www.stephenkroppbooks.blogspot.com/2010/07/reinforcement-learning-introduction.html

Book reviews, chapter notes, and things I found interesting in the books I have read. Sunday, July 4, 2010. Reinforcement Learning: An Introduction (Chapter 2). The most important feature distinguishing reinforcement learning from other types of learning is that it uses training information that evaluates the actions taken rather than instructs by giving correct actions. Depends entirely on the action taken, whereas instructive feedback is independent of the action taken. 21 An n-Armed Bandit Problem.

2

Book Notes: July 2010

http://www.stephenkroppbooks.blogspot.com/2010_07_01_archive.html

Book reviews, chapter notes, and things I found interesting in the books I have read. Tuesday, July 6, 2010. I recently read the book Rework by Jason Fried and David Hansson. Here are some of my notes. Planning is guessing, "you have the most information when you're doing something, not before you've done it." - Page 19. To do great work, you need to feel that you're making a difference. That you're putting a meaningful dent in the universe. That you're part of something important." - Page 31. We make su...

3

Book Notes: Rework

http://www.stephenkroppbooks.blogspot.com/2010/07/rework.html

Book reviews, chapter notes, and things I found interesting in the books I have read. Tuesday, July 6, 2010. I recently read the book Rework by Jason Fried and David Hansson. Here are some of my notes. Planning is guessing, "you have the most information when you're doing something, not before you've done it." - Page 19. To do great work, you need to feel that you're making a difference. That you're putting a meaningful dent in the universe. That you're part of something important." - Page 31. We make su...

4

Book Notes: Reinforcement Learning: An Introduction (Chapter 3)

http://www.stephenkroppbooks.blogspot.com/2010/07/reinforcement-learning-introduction_04.html

Book reviews, chapter notes, and things I found interesting in the books I have read. Sunday, July 4, 2010. Reinforcement Learning: An Introduction (Chapter 3). 31 The Agent-Environment Interface. Agent - the learner and decision maker. The agents goal is to maximize the total amount of reward it receives over the long run. Environment - the thing the agent interacts with, everything outside of the agent. Gives rise to rewards, special mumerical values that the agent tries to maximize over time. A state ...

5

Book Notes: Reinforcement Learning: An Introduction (Chapter 1)

http://www.stephenkroppbooks.blogspot.com/2010/06/reinforcement-learning-introduction.html

Book reviews, chapter notes, and things I found interesting in the books I have read. Friday, June 25, 2010. Reinforcement Learning: An Introduction (Chapter 1). Learning what to do. Map situation to actions so as to maximize a numerical reward signal. The learner is not told which actions to take but instead must discover which actions yield the most reward by trying them. Most important distinguishing features. Search and delayed reward. 13 Elements of Reinforcement Learning. Maps each perceived state ...

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Book Notes

Book reviews, chapter notes, and things I found interesting in the books I have read. Tuesday, July 6, 2010. I recently read the book Rework by Jason Fried and David Hansson. Here are some of my notes. Planning is guessing, "you have the most information when you're doing something, not before you've done it." - Page 19. To do great work, you need to feel that you're making a difference. That you're putting a meaningful dent in the universe. That you're part of something important." - Page 31. We make su...

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