# 963: Reinforcement Learning for Agents, with Amazon AGI Labs’ Antje Barth

An episode of [Super Data Science: ML & AI Podcast with Jon Krohn](https://invisiblenetwork.ai/podcast/1163599059), 3 Feb 2026, 51 min.

Audio: https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD2620397856.mp3?updated=1770108226

Bestselling author and Gen AI instructor Antje Barth talks to Jon Krohn about her work at Amazon’s AGI Labs and their newest product Nova Act, as well as where we will see the most success with AI agents and how AI developers can reap those rewards. This episode is brought to you by the Dell, by Intel, by Fabi and by Cisco. Additional materials: www.superdatascience.com/963 Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: • (01:23) Amazon’s latest product, Nova Act • (11:05) How Nova Act tests reliability • (24:01) Where Amazon’s 1000s of gen AI deployments succeed • (31:32) How Nova Act maintains its security • (36:32) The increasing value of agentic AI developers

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