Reinforcement Learning Advances
Sergey discusses the exciting progress in combining model-free reinforcement learning with planning techniques, highlighting the importance of achieving goals through learned behaviors. He emphasizes that this approach could provide the necessary abstractions for effective decision-making in complex environments, paving the way for machines to learn continuously from real-world experiences.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
Related Questions
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