Can Reinforcement Learning Escape the Sim Lab for Real Streets?
Kids learn bikes through falls and fun. Why can't AI? Turns out, real-world reinforcement learning demands trillions of trials machines can't afford.
⚡ Key Takeaways
- RL excels in sims but demands trillions of real-world trials it can't afford yet.
- Narrow niches like optimization yield ROI; general robotics remains hype.
- Sim-to-real gaps and sample inefficiency cap deployments to 2-5% today.
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Originally reported by Towards AI