Q Learning Epsilon Greedy
Q-learning with the epsilon-greedy strategy is a foundational concept in reinforcement learning, widely used to train agents to make optimal decisions in uncertain environments. Reinforcement learning is a type of machine learning where an agent learns by interacting with its environment, receiving feedback in the form of rewards or penalties. Q-learning, a value-based algorithm, allows … Read more