The question list is as follows:
- What is reinforcement learning?
- How does RL differ from other ML paradigms?
- What are agents and how do agents learn?
- What is the difference between a policy function and a value function?
- What is the difference between model-based and model-free learning?
- What are all the different types of environments in RL?
- How does OpenAI Universe differ from other RL platforms?
- What are some of the applications of RL?