Deep Q-Learning (DQN)

Reinforcement Learning

A glimpse of Deep Q-Learning (DQN)

Suppose a game offers two actions. Instead of directly storing their probabilities, an agent predicts how much future reward each action is worth.

Those predictions are Q-values. Q(s, a) means the estimated total of future rewards for taking action a in state s, then choosing later actions according to a particular rule, or policy. That reward total is a return.

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