Building Machines that Learn and Think Like People

MIT Prof. Josh Tenenbaum gave a talk on Building Machines that Learn and Think Like People at the ICML 2018. His insight is that it is possible to teach a machine to learn like a child by using:

  • Game engine intuitive physics
  • Intuitive psychology
  • Probabilistic programs
  • Program induction
  • Program synthesis

This agenda is more ambitious that the current state of machine learning though it resembles more old-style machine learning an there is no guarantee that it will succeed. Still it is refreshing that we can learn from young humans to teach machines.

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