Mentioned in Podcasts

Person

Every book Marcus Hutter recommended on podcasts

Key facts

  • Marcus Hutter has recommended or discussed 4 books on podcasts, as of February 26, 2020.
  • Marcus Hutter has talked about books on 1 podcast, as of February 26, 2020.
  • Those books came up in 1 episode, as of February 26, 2020.
  • The 3 books Marcus Hutter has mentioned in the most episodes, as of February 26, 2020: An Introduction to Kolmogorov Complexity and Its Applications, Artificial Intelligence: a Modern Approach and Reinforcement Learning.
  • The latest episode with a book mention from Marcus Hutter aired on February 26, 2020.

Updated

Guest on Lex Fridman Podcast · 4 books · 1 episode across 1 podcast

Marcus Hutter appeared on the Lex Fridman Podcast to discuss universal artificial intelligence, AIXI, and artificial general intelligence. During the episode, Hutter recommended several key texts essential for anyone studying the field. He strongly endorsed Stuart Russell and Peter Norvig's Artificial Intelligence: A Modern Approach, describing it as the definitive AI Bible and an amazing, broad resource that covers all major approaches to the discipline. Furthermore, Hutter recommended the textbook on reinforcement learning by Richard Sutton and Andrew Barto, specifically noting an illustrative elevator control example and praising the book for being very gentle, readable, and approachable despite making reinforcement learning look easier than it actually is. Additionally, Hutter mentioned the information-theoretic text on Kolmogorov complexity by Ming Li and Paul M.B. Vitányi, noting that while short articles might suffice for some readers, it remains a great book for those pursuing that specific mathematical approach.

Books Marcus Hutter recommended or discussed

Who said what is our best reading of each episode. In hand-checked samples, at least 6% of mentions were credited to the wrong speaker, sometimes an interviewer’s line recorded as the guest’s, sometimes the reverse. Every entry below quotes the words and links to the episode, so you can check it.

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  1. An Introduction to Kolmogorov Complexity and Its Applications

    Ming Li; Paul M.B. Vitányi · Recommended · 1 episode

    An Introduction to Kolmogorov Complexity and Its Applications by Ming Li and Paul M.B. Vitányi is a comprehensive academic text that explores the mathematical foundations and practical implementations of Kolmogorov complexity in computer science and information theory.

    Recommended
    “if you like the information theoretic approach then there's Kolmogorov complexity by Alene batani but probably you know some some short article is enough you don't need to read a whole book but it's a great book”
    Lex Fridman Podcast #75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI 2020-02-26 Listen at 1:34:58
    Where to get it
    Listen free with an Audible trialAmazon

  2. Artificial Intelligence: a Modern Approach

    Stuart Russell · Recommended · 1 episode

    Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig is widely recognized as the definitive academic textbook on artificial intelligence, providing a comprehensive overview of the field's foundational concepts and methodologies.

    Recommended
    “I would always start with Russell and Norvig artificial intelligence a modern approach that's the AI Bible It's an amazing book It's very broad It covers you know all approaches to AI and even if you focus on one approach I think that is the minimum you should know about the other approaches out there So that should be your”
    Lex Fridman Podcast #75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI 2020-02-26 Listen at 1:33:09
    Where to get it
    Listen free with an Audible trialAmazon

  3. Reinforcement Learning

    Rich Sutton · Recommended · 1 episode

    Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto is the definitive textbook on machine learning algorithms where agents learn to make decisions by maximizing cumulative rewards.

    Recommended
    “a nice cute example is elevator control that is also in rich Sutton's book which is a great book by the way”
    Lex Fridman Podcast #75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI 2020-02-26 Listen at 1:06:40
    Where to get it
    Listen free with an Audible trialAmazon

  4. Reinforcement Learning

    Richard S. Sutton, Andrew G. Barto · Recommended · 1 episode

    Reinforcement Learning by Richard S. Sutton and Andrew G. Barto is the seminal textbook on machine learning that introduces the foundational algorithms, concepts, and history of computational reinforcement learning.

    Recommended
    “I would recommend the reinforcement only book by certain in part oh there's a beautiful book if there's any problem with the book it makes our L feel and look much easier than it actually is it's very gentle book it's very nice to read the exercises do you can very quickly you know get some aerial systems to run”
    Lex Fridman Podcast #75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI 2020-02-26 Listen at 1:34:00
    Where to get it
    Listen free with an Audible trialAmazon

Appearances

EpisodePodcastDateBooks
#75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGILex Fridman Podcast2020-02-265