Subscribe: iTunes, Android, Spotify, Stitcher, Google, and RSS.

In this episode of the Data Exchange I speak with Max Pumperla, deep learning engineer at Pathmind and a contributor to many open source projects in data science and machine learning.  Max is speaking on applications of reinforcement learning to simulation problems at the upcoming Ray Summit, a free virtual conference scheduled for Sep 30th and Oct 1st.  Earlier this year I had Pathmind’s CEO Chris Nicholson on this podcast and he described how reinforcement learning might play a role in simulation problems. In this episode, Max provides an update and a technical description of how Pathmind uses reinforcement learning, RLLib, and Tune, to help users of AnyLogic, a widely used software for simulations in business applications.

Detailed show notes can be found on The Data Exchange web site.

Subscribe to The Gradient Flow Newsletter.