Machine Learning

Reinforcement  Q-Learning and Markov Decision Processes  Reinforcement Learning Concepts Introduction,  Learning tasks Q-Learning and Deep Q-Learning Markov Decision Processes (MDP) Policy Gradient Methods Rewards and Actions,  Temporal Difference Learning Generalizing from examples, the  Relationship to Dynamic Programming  Reinforcement Learning Definition:  Reinforcement learning is a type of machine learning where an agent learns through trial and error to achieve a specific goal by maximizing a reward function.