Reinforcement Learning

Reinforcement Learning is a type of machine learning where an agent learns to make decisions through trial and error, receiving feedback from its environment. The agent aims to discover an optimal strategy that leads to the highest cumulative reward over multiple interactions with the environment.

Topics

• Markov Decision Process : Mathematical framework
• Q-Learning
• Deep Q-Learning

Reference(s)

• Reinforcement Learning, An Introduction - Sutton and Barto.