Reinforcement Learning: Agents, Rewards and Environments
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In this lesson
How do you learn to ride a bicycle? Nobody gives you labelled examples. You try, wobble, fall (a negative reward), adjust, and slowly get better. Reinforcement learning (RL) teaches computers the same way, and it’s how AlphaGo beat world champions and how chatbots are tuned with human feedback (RLHF).
🎬 Learning by trial and error
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