Hierarchical Reasoning Challenges
Pieter discusses the complexities of applying reinforcement learning to real-world scenarios, emphasizing the intricate nature of decision-making in life. He highlights the gap in current algorithms when it comes to credit assignment and the need for advanced hierarchical reasoning to bridge this divide. The conversation delves into the fundamental differences between high-level decisions and the physical actions that shape our interactions with the world.In this clip
From this podcast
Lex Fridman Podcast
Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10
Related Questions
As we have robots interact in the physical world, is that a signal that could be used in reinforcement learning in the context of the episode and the clip?
As we have robots interact in the physical world, is that a signal that could be used in reinforcement learning in the context of the episode Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10 and the clip Hierarchical Reasoning Challenges?
Is the interaction of robots in the physical world a signal that could be used in reinforcement learning as discussed in the episode Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10 and the clip Teaching Robots Skills?