Tag: Python Reinforcement Learning
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Understanding Deep Q-Networks (DQN): A Modern Approach to Reinforcement Learning in Machine Learning
Introduction: What Are Deep Q-Networks? Deep Q-Networks (DQNs) are a breakthrough in reinforcement learning that combine Q-Learning with deep neural networks. Developed by DeepMind, DQNs enable agents to learn optimal policies in complex environments with high-dimensional state spaces, such as video games. This advancement paved the way for AI to perform at or above human… Read more
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Mastering Q-Learning: A Step-by-Step Guide to Reinforcement Learning in Machine Learning
Introduction: What is Q-Learning? Q-Learning is a fundamental reinforcement learning algorithm that enables an agent to learn optimal actions in a given environment by maximizing rewards. It’s a model-free algorithm, meaning it doesn’t require prior knowledge of the environment’s dynamics. Instead, it learns from trial-and-error interactions, making it a powerful tool for decision-making problems. How… Read more