Skip to content
Julia Bonafede — A Deep Dive into Deep Reinforcement Learning (EP.135) episode artwork

Dec 1, 2022 1 hr 5 min

Julia Bonafede — A Deep Dive into Deep Reinforcement Learning (EP.135)

from Infinite Loops

Julia is the co-founder of Rosetta Analytics Inc, "an alternative asset manager that is pioneering the use of advanced artificial intelligence to build and actively manage liquid investment strategies." Prior to co-founding Rosetta, Julia served as President of Wilshire Consulting and was a member of Wilshire's Board of Directors and Consulting Investment Committee. Julia joins the show to take a deep dive into deep reinforcement learning and Rosetta's pioneering work using AI as the basis of its investment strategies. Important Links: Rosetta Analytics Julia's LinkedIn Show Notes: Julia's journey from Wilshire to Rosetta Defining deep reinforcement learning AI and non-linear thinking Using adaptive models Overcoming the human need for 'why' Pitching deep reinforcement learning models to new investors Telling positive stories about AI; improving our discourse "Wake up and look for the joy"; "overcoming fear is the biggest barrier to success" Books Mentioned: What Works on Wall Street: A Guide to the Best-Performing Investment Strategies of All Time; by Jim O'Shaughnessy The Beginning of Infinity: Explanations That Transform the World; by David Deutsch The Fourth Turning: An American Prophecy - What the Cycles of History Tell Us About America's Next Rendezvous with Destiny; by William Strauss and Neil Howe

Episode details come from the podcast's RSS feed.

Embed this episode

Ready to play

Julia Bonafede — A Deep Dive into Deep Reinforcement Learning (EP.135)

0:00 1:05:15

No transcript yet.

Requests help us decide what to transcribe next.

Frequently asked questions

How long is this episode of Infinite Loops?

This episode is 1 hour and 5 minutes long.

When was this Infinite Loops episode published?

This episode was published on December 1, 2022.

Can I download this Infinite Loops episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.