AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
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.