DynaQ

Introduction To Q-Learning Q-Learning is a crucial model-free algorithm in reinforcement learning, focusing on learning the value, or 'Q-value', of actions in specific states. This method excels in environments with unpredictability, as it doesn't need a predefined model of its surroundings. It adapts to stochastic transitions and varied rewards effectively, making it versatile for scenarios where outcomes are uncertain. This flexibility allows Q-Learning to be a powerful tool in scenarios requiring adaptive…