Python Reinforcement Learning
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Questions

The question list is as follows: 

  1. Why and how do we create a new environment in Anaconda?
  2. What is the need for using Docker?
  3. How do we simulate an environment in OpenAI Gym?
  4. How do we check all available environments in OpenAI Gym?
  5. Are OpenAI Gym and Universe the same? If not, what is the reason?
  6. How are TensorFlow variables and placeholders different from each other?
  7. What is a computational graph?
  8. Why do we need sessions in TensorFlow?
  9. What is the purpose of TensorBoard and how do we start it?