Denny Britz on Twitter: "I really miss writing tutorials. I just can’t find any ML topic I’m excited enough about to study in-depth and write about…"

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1. Denny Britz‏ @dennybritz Jan 4
  Some candidates are Information Theory, Bayesian approaches/interpretations, or ML + Engineering
  
  18 replies 2 retweets 52 likes
  
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1. Arvind Nagaraj‏ @nagaraj_arvind Jan 4
  Replying to @dennybritz
  
  It would be great if you could explain Greg Wayne's deepmind papers - MERLIN and TVT... His own video explanation was awesome but any more help would be fantastic!https://youtu.be/9z3_tJAu7MQ
  
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1. Julian Harris‏ @julianharris Jan 4
  Replying to @dennybritz
  
  Tutorials on either of these would be amazing: Concept learning with energy-based models https://arxiv.org/pdf/1811.02486.pdf … "only the information relevant to the action performed by the agent is represented" -- how? Curiosity: Reinforcement learning without goalshttps://pathak22.github.io/noreward-rl/
  
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1. Keith Ingersoll‏ @_keithing Jan 5
  Replying to @dennybritz
  
  I hope you do find something! Your posts are well-written and a delight to read.
  
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1. the datazDude‏ @DatazDude Jan 5
  Replying to @dennybritz
  
  warm starts for rl
  
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1. Ali Younes‏ @3liyounes Jan 5
  Replying to @dennybritz
  
  What about Data-efficient Reinforcement learning, model-based+model-free RL it will be great
  
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1. Michael‏ @MichaelJGTZ Jan 5
  Replying to @dennybritz
  
  Where can I find your previous tutorials? I’d love to review them and learn!
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