Reinforcement Learning: Agents, Rewards and Environments

Reinforcement Learning Basics Intermediate 3 min read Published
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).

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