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I'm training an RL agent/model (DRL/DQN).

Say that, for each learning step, the memory replay used by the agent to learn, has N elements (experiences) stored, where only X are unique elements (experiences), meaning X <= N.

I wonder whether it would be beneficial for the agent to sample from the whole memory or from a memory with unique elements?

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