Reinforcement Learning Basics

What is reinforcement learning?

Reinforcement Learning(RL) is a type of machine learning technique that enables an agent to learn in an interactive environment by trial and error using feedback from its own actions and experiences.

Dynamic visualization of the value iteration/utility propagation in a grid world Markov Decision Process

Basics of Markov Decision Process

Value iteration

Policy iteration

Q-learning

TD-learning