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Introduction to Machine Learning. Episode 13, Games with Reinforcement Learning.

Contributor(s): Material type: FilmFilmPublisher number: 13413153 | KanopyPublisher: The Great Courses, 2020Publisher: [San Francisco, California, USA] : Kanopy Streaming, 2023Description: 1 online resource (streaming video file) (30 minutes): digital, .flv file, soundContent type:
  • two-dimensional moving image
Media type:
  • computer
Carrier type:
  • online resource
Subject(s): Genre/Form: Online resources: Michael LittmanSummary: In 1959, computer pioneer Arthur Samuel popularized the term "machine learning" for his checkers-playing program. Delve into strategies for the board game Othello as you investigate today's sophisticated algorithms for improving play, at least for the machine. Also explore game-playing tactics for chess, Jeopardy!, poker, and Go, which have been a hotbed for machine-learning research.
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In Process Record.

Michael Littman

Originally produced by The Great Courses in 2020.

In 1959, computer pioneer Arthur Samuel popularized the term "machine learning" for his checkers-playing program. Delve into strategies for the board game Othello as you investigate today's sophisticated algorithms for improving play, at least for the machine. Also explore game-playing tactics for chess, Jeopardy!, poker, and Go, which have been a hotbed for machine-learning research.

Mode of access: World Wide Web.

In English

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