Is Reinforcement Learning the Real Future of AI?
Summary
While AGI, generative AI, and humanoid robots dominate the spotlight, reinforcement learning (RL) is quietly powering the next chapter of AI. Unlike other methods, RL enables systems to learn by doing – adapting through trial and error in dynamic environments. In this session, one of the world’s leading RL minds will explore why this approach is essential for building truly autonomous, intelligent systems, and how today’s breakthroughs are laying the groundwork for the next wave of transformative AI.
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Contributors
- Peter Stone
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