Reinforcement Learning at 65,000 Feet with Marlos C. Machado | Approximately Correct Podcast - podcast episode cover

Reinforcement Learning at 65,000 Feet with Marlos C. Machado | Approximately Correct Podcast

Jun 25, 202441 minSeason 1Ep. 6
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

This week’s episode of Approximately Correct looks at how the work of Marlos C. Machado is taking reinforcement learning to new heights.

Marlos sits down with hosts Alona Fyshe and Scott Lilwall to share the insights from his work using AI to control balloons in Earth's stratosphere, and what it teaches us about how reinforcement learning works in the real world.


Production Credits: Lynda Vang - Producer, Chris Onciul - Video Production

Music Credits: Main Theme - Brooklyn Bridge by Lunareh


For the best experience, listen in Metacast app for iOS or Android