Reinforcement Learning, Machine Learning, Monte Carlo, Data Science, Thoughts And Theory.
action before they are taken. Model-free: methods without a model. The algorithm tries to learn to associate actions and respective returns. The algorithm we studied in the previous article is an example of a model-based approach, since the agent uses the estimates of given transition probabilities