상황
Illustrates the iterative process of a deep Q-network (DQN) agent training in a game environment, from initialization to model saving.
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Is the replay buffer large enough to sample?
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Should the target network be updated?
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Has the episode terminated?
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Have max episodes been reached?
When designing or explaining reinforcement learning training pipelines, particularly for game AI or simulation-based agents using experience replay.