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X-WR-CALNAME:AI Book Club: Grokking Deep Reinforcement Learning
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SUMMARY:AI Book Club: Grokking Deep Reinforcement Learning
LOCATION:San Francisco\, United States
DESCRIPTION:AI Builders and Learners SF\nOctobers's book is "Grokking Deep 
 Reinforcement Learning"!\n​This is a casual-style event. Not a structure
 d presentation on topics. Sometimes\, the discussion even drifts away from
  the chapters\, but feel free to grab the mic to help steer it back.\n\n
 ​Feel free to join the discussion even if you have not read the book cha
 pters! :)\n\n​Want to discuss the contents during the reading week? Join
  the Flyte MLOps Slack group. (https://flyte-org.slack.com/join/shared_inv
 ite/zt-47whsaemd-S4KFny5mk0uHCtRF2gU7ig?utm_source=luma#/shared-invite/ema
 il)\n​-------------------------------------------------\nAbout the book:
 \n\n• ​Title: Grokking Deep Reinforcement Learning\n• ​Authors: Mi
 guel Morales\n• ​Published: December 2020\n\n​Manning (Promo code: A
 IBookClub should give you 45% off: https://www.manning.com/books/grokking-
 deep-reinforcement-learning (https://www.manning.com/books/grokking-deep-r
 einforcement-learning?utm_source=luma)\n​O'rielly platform: https://lear
 ning.oreilly.com/library/view/grokking-deep-reinforcement/9781617295454/ (
 https://learning.oreilly.com/library/view/grokking-deep-reinforcement/9781
 617295454/?utm_source=luma)\n​\n​Chapters:\n\n• ​1 Introduction to
  deep reinforcement learning\n• ​2 Mathematical foundations of reinfor
 cement learning\n• ​3 Balancing immediate and long-term goals\n• ​
 4 Balancing the gathering and use of information\n• ​5 Evaluating agen
 ts’ behaviors\n• ​6 Improving agents’ behaviors\n• ​7 Achievin
 g goals more effectively and efficiently\n• ​8 Introduction to value-b
 ased deep reinforcement learning\n• ​9 More stable value-based methods
 \n• ​10 Sample-efficient value-based methods\n• ​11 Policy-gradien
 t and actor-critic methods\n• ​12 Advanced actor-critic methods\n• 
 ​13 Toward artificial general intelligence\n\n​Book Description\n​Gr
 okking Deep Reinforcement Learning uses engaging exercises to teach you ho
 w to build deep learning systems. This book combines annotated Python code
  with intuitive explanations to explore DRL techniques. You'll see how alg
 orithms function and learn to develop your own DRL agents using evaluative
  feedback.
URL:https://ontown.app/e/tbcdhdxp-ai-book-club-grokking-deep-reinforcement-
 learning/
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