Learning in AI
David emphasizes the necessity of learning in AI systems, particularly when it comes to mastering complex games like Go. He critiques the traditional knowledge-based approaches, highlighting their limitations and the brittleness that arises from relying on human knowledge. Instead, he advocates for a system that learns from its own experiences, verifying knowledge through outcomes rather than external input.In this clip
From this podcast
Lex Fridman Podcast
David Silver: AlphaGo, AlphaZero, and Deep Reinforcement Learning | Lex Fridman Podcast #86
Related Questions
How did AlphaGo's learning process through self-play lead to the development of its own strategies in the episode Michael Littman: Reinforcement Learning and the Future of AI | Lex Fridman Podcast #144 and the clip AlphaGo Insights?
How did AlphaGo's learning process through self-play lead to the development of its own strategies in the episode Michael Littman: Reinforcement Learning and the Future of AI | Lex Fridman Podcast #144 and the clip AlphaGo Insights?