Reinforcement Learning
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What is Reinforcement Learning?
Reinforcement learning is a type of machine learning where an agent learns to make decisions in an environment to maximize a cumulative reward. It involves the agent taking actions, receiving feedback in the form of rewards or penalties, and adjusting its strategy to improve its performance over time. Unlike supervised learning, it doesn't rely on labeled data but rather learns through trial and error.
Free resources to learn Reinforcement Learning
More in stage 40: Basic Machine Learning
Reinforcement Learning: common questions
Can I learn Reinforcement Learning in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Reinforcement Learning in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Reinforcement Learning tutorial for beginners?
It is lesson 149 of 200 in the free BI Analyst roadmap, in stage 40, Basic Machine Learning. If you are new to BI Analyst, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.