Reinforcement Learning: Monte-Carlo Learning

Model-free learning.

In the preceding three blogs, we talked about how we formulate an RL problem as MDPs and solve them using Dynamic Programming (Value iteration and Policy iteration). Everything we have seen so far deals with the environments we had full knowledge about i.e.transition probability, reward function etc. A natural question would be, what about the environments in which we don’t have the luxury of these functions and probabilities? This is where a different class of reinforcement learning known …

deep learning learning machine learning monte-carlo reinforcement reinforcement learning