2min chapter

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) cover image

Reinforcement Learning for Industrial AI with Pieter Abbeel - #476

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

CHAPTER

Is the Nuel Network the Same When It Thinks About Grappling and Manipulation?

The models are focused on the manipulation task, or whatever the generalization of that. But there are other parts of the problem that i'm thinking are more like traditional optimization and not necessarily places where you require norn that works. What's the scope within these three problem domains of the models that you're building? We don't have one off training for new endefactors now. It's all shared learning across every deplorment, every type of endefactor. Ind that way, again, you can generalize beyond what's possible otherwise.

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