Reinforcement Learning
The paradigm with no dataset — an agent learns by acting, receiving rewards and penalties, and navigating the exploration-exploitation tradeoff that decides whether it finds the global optimum or settles for a mediocre trap.
One doc tagged with "Reinforcement Learning"
Learning by acting — agents, rewards, policies, and the exploration-exploitation tradeoff.
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