Robot Agnostic Models
The discussion highlights the challenges of developing a robot agnostic model capable of zero-shot generalization across various robotic arms. While the goal wasn't fully achieved, effective pre-training methods were established, allowing for fine-tuning with minimal data on new robots. The availability of a fixed dataset opens up opportunities for further research in fully off-policy reinforcement learning.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Advancements in Machine Learning with Sergey Levine - #355
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