Deep Q-Networks: Machine Learning on Steroids
Deep Q-Networks (DQN) are an advanced machine learning method based on the combination of deep neural networks and Q-learning. They were developed to solve complex sequential decision-making problems where an agent acts in an environment and learns to perform optimal actions. DQN use a deep neural network to approximate the Q-function, which represents the expected future reward of an action in a given state. Through iterative training, […] learns
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