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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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Hi Sir, I want a clearity up on these 1. To learn Data Science "Machine learning" is part of it but we have to learn additionally python libraries (panda, numpy, matplotlib) or else in ML enough.

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how can i download the finaldata.csv?

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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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  10. Normalizing the Data in Machine Learning - Part 2
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  14. Plotting Graphs in Machine Learning - Part 2
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  16. Distribution Models in Machine Learning - Part 2
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  2. Reinforcement Learning Project - Teach a Taxi Part 2
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