Discuss the following question in the discussion forum: What are the differences between the value-iteration algorithm and Q-learning?

Differences between the value-iteration algorithm and Q-learning:

- The value-iteration algorithm is designed to calculate learning parameters in the case where Markov Decision Process probabilities are known.  In Q-learning, the probabilities are not known.

- As such, the MDP probabilities that are unknown are estimated dynamically, and the Q and V values at the same time.