Sketchnotes from TWiML&AI #92: Learning State Representations with Yael Niv

January 18, 2018
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(This article was first published on Shirin's playgRound, and kindly contributed to R-bloggers)

These are my sketchnotes for Sam Charrington’s podcast This Week in Machine Learning and AI about Learning State Representations with Yael Niv: https://twimlai.com/twiml-talk-92-learning-state-representations-yael-niv/

Sketchnotes from TWiMLAI talk #92: Learning State Representations with Yael Niv

Sketchnotes from TWiMLAI talk #92: Learning State Representations with Yael Niv

You can listen to the podcast here.

In this interview Yael and I explore the relationship between neuroscience and machine learning. In particular, we discusses the importance of state representations in human learning, some of her experimental results in this area, and how a better understanding of representation learning can lead to insights into machine learning problems such as reinforcement and transfer learning. Did I mention this was a nerd alert show? I really enjoyed this interview and I know you will too. Be sure to send over any thoughts or feedback via the show notes page. https://twimlai.com/twiml-talk-92-learning-state-representations-yael-niv/

To leave a comment for the author, please follow the link and comment on their blog: Shirin's playgRound.

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