Complete Machine Learning Course > Projects

Reinforcement Learning Project - Teach a Taxi Part 3

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four types of reinforcement:

  • Positive reinforcement
  • negative reinforcement
  • extinction
  • punishment.
#BBD0E0 »

A reinforcement learning system has four primary components, in addition to the agent and the environment: a policy, a reward, a value function, and, optionally, a model of the environment. A policy describes how an agent acts at a specific point in time.

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  1. Introduction to Machine Learning
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  2. Environment Setup Part 1
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  3. Environment Setup Part 2
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  4. Environment Setup Part 3
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  1. Data Wrangling in Machine Learning
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  2. Importing Libraries and Dataset in Machine Learning
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  3. Handling Missing Data in Machine Learning
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  5. Encoding Categorical Data in Machine Learning
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  6. Encoding Categorical Data in Machine Learning - Practical
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  7. Splitting Dataset in Machine Learning
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  8. Splitting Dataset in Machine Learning - Practical
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  9. Normalizing the Data in Machine Learning - Part 1
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  10. Normalizing the Data in Machine Learning - Part 2
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  12. Exploratory Data Analysis in Machine Learning
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  14. Plotting Graphs in Machine Learning - Part 2
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  15. Distribution Models in Machine Learning - Part 1
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  16. Distribution Models in Machine Learning - Part 2
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